Informatica PC-IICS (Production Support)
Responsibilities
Production Support & Monitoring
Monitor daily ETL workflows, mappings, and jobs in PowerCenter and IICS
Ensure timely execution of batch jobs and meet SLA commitments
Perform initial triage and resolve production issues quickly
Incident & Problem Management
Troubleshoot failures in sessions, workflows, and integrations
Analyze logs and identify root causes for data issues
Work on incident management tools (ServiceNow, Jira)
Provide permanent fixes for recurring issues
Informatica PowerCenter (PC) Support
Support PowerCenter environments (10.x)
Monitor Repository Service, Integration Service
Debug session errors and optimize workflows
Perform deployment/migration across environments
IICS (Informatica Cloud) Support
Monitor IICS jobs, task flows, and mappings
Manage Secure Agent (installation, upgrades, troubleshooting)
Handle connectivity issues between cloud and on-prem systems
Support application integration and data integration pipelines
Data Validation & Quality Checks
Perform data validation and reconciliation
Ensure data accuracy, completeness, and consistency
Work with data quality tools if required (IDQ – optional)
Scheduling & Automation
Manage job scheduling tools:
Control-M / Autosys / Informatica Scheduler
Develop shell scripts for automation and monitoring
Ensure dependencies and workflows are executed correctly
Performance Optimization
Identify performance bottlenecks in workflows and mappings
Optimize queries and transformation logic
Tune sessions for better throughput
Database & Integration Support
Work closely with databases:
Oracle, SQL Server, DB2, etc.
Optimize SQL queries and connections
Handle source/target data issues
Required Skills & Qualifications
Core Skills
3–6 years of experience in Informatica Production Support
Hands-on experience in:
Informatica PowerCenter (mandatory)
Informatica IICS (mandatory)
Technical Skills
Strong understanding of:
Workflow/session configuration & debugging
ETL processes and data pipelines
Strong SQL skills (mandatory)
Knowledge of data warehousing concepts
IICS Components
Data Integration
Application Integration
Secure Agent
Taskflows
Tools & Platforms
Scheduling tools (Control-M / Autosys)
Incident management tools (ServiceNow / Jira)
Version control (Git – optional)
Technical and Professional Requirements
- Primary skills: Informatica PC, IICS & Production Support
Preferred Skills
- Informatica – Informatica Power Center
- Informatica Intelligent Cloud services(IICS)
- Support Process – Transition
Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc,BTech
MicroStrategy
Responsibilities
MicroStrategy Development
Design, develop, and maintain MicroStrategy dashboards, reports, and scorecards
Develop and manage Intelligence Server objects, schema objects, and metadata
Create metrics, filters, prompts, and transformations
Build dynamic dashboards and data visualizations for business users
Data Modeling & BI Solutions
Design and maintain data models (star schema, snowflake)
Work with fact and dimension tables
Optimize data models for reporting efficiency and performance
Collaborate with data architects for BI solution design
Performance Optimization
Analyze and optimize report performance, SQL queries, and query tuning
Implement best practices for caching, partitioning, and aggregation
Troubleshoot performance bottlenecks and improve response times
MicroStrategy Administration (Optional / Preferred)
Manage MicroStrategy environment, users, security, and access control
Handle object migration and version upgrades
Perform basic administrative tasks and monitoring
SQL & Database Management
Write and optimize complex SQL queries
Work with databases like Oracle, SQL Server, Teradata, Snowflake
Ensure data accuracy through validation and reconciliation
Production Support & Maintenance
Provide L2/L3 support for BI applications
Troubleshoot issues with reports, dashboards, and data discrepancies
Handle deployments and production release support
Perform root cause analysis (RCA)
Collaboration & Stakeholder Interaction
Work with business users, analysts, and product teams to gather requirements
Translate business needs into technical BI solutions
Conduct user training and provide documentation
Additional Responsibilities
Preferred Skills
Experience with MicroStrategy administration (user/security management)
Exposure to cloud platforms (AWS/Azure/GCP)
Familiarity with other BI tools (Power BI, Tableau)
Knowledge of Python or scripting for automation
Experience with Agile methodologies
Technical and Professional Requirements
- Primary skills:Technology->Business Intelligence – Reporting->Microstrategy
Preferred Skills
- Microstrategy
Educational Requirements
MCA,MSc,MTech,BCA,BSc,BTech
AWS Data Engineer
Responsibilities
Key Responsibilities
Design, deploy, and manage applications on AWS cloud platform
Develop and maintain scalable, secure, and highly available systems
Work with core AWS services such as EC2, S3, Lambda, RDS, VPC
Automate infrastructure using Infrastructure as Code (IaC) tools
Monitor system performance and ensure cost optimization
Implement security best practices and compliance policies
Collaborate with development and DevOps teams for deployments
Troubleshoot cloud infrastructure and application issues
Support CI/CD pipeline implementation and maintenance
Perform system upgrades, patches, and backups
Additional Responsibilities
Preferred Skills (Nice-to-Have)
AWS certifications (AWS Certified Solutions Architect / Developer / SysOps)
Experience with containerization (Docker, Kubernetes, EKS)
Exposure to serverless architecture (Lambda, API Gateway)
Knowledge of DevOps practices and tools
Experience with cloud security and compliance frameworks
Familiarity with data services (Redshift, Glue, Athena)
Experience with microservices architecture
Exposure to multi-cloud environments (Azure, GCP)
Technical and Professional Requirements
- Primary skills:Technology->Cloud Platform->AWS Data engineer
Preferred Skills
- Amazon Webservices DevOps
Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc,BTech
Azure Databricks Platform Admin
Responsibilities
Azure Databricks Platform Administration
Administer and manage Azure Databricks workspaces, clusters, and jobs
Configure and maintain Databricks environments (Dev, QA, Prod)
Monitor cluster performance, job execution, and system health
Manage notebooks, libraries, and dependencies
Perform upgrades, patches, and platform maintenance
Cluster Management & Optimization
Design and manage cluster configurations (auto-scaling, instance types, pools)
Optimize job performance, resource utilization, and execution times
Troubleshoot cluster failures, memory issues, and job bottlenecks
Implement best practices for Spark performance tuning
Security & Governance
Implement and enforce data security and access controls (RBAC, ACLs, IAM)
Manage workspace security, secrets (Key Vault integration), and credential passthrough
Ensure compliance with enterprise security and governance policies
Implement data governance, auditing, and lineage tracking
Azure Cloud Integration
Integrate Databricks with Azure services such as:
Azure Data Lake Storage (ADLS Gen2)
Azure Key Vault
Azure Data Factory (ADF)
Azure Synapse Analytics
Manage connectivity and networking (VNet, Private Endpoints, NSGs)
Technical and Professional Requirements
✅ Core Skills
10–15 years of IT experience with strong Azure Databricks administration
Hands-on expertise in Apache Spark and Databricks platform management
Strong experience with Azure cloud services (ADLS, ADF, Key Vault, Networking)
Proven experience in production support and platform operations
✅ Technical Skills
Deep knowledge of cluster configuration, job scheduling, and performance tuning
Strong understanding of Spark architecture and optimization techniques
Experience with Terraform / ARM / Bicep (IaC tools)
Knowledge of security models, IAM, RBAC, and data governance
Familiarity with CI/CD tools and DevOps practices
Preferred Skills
Experience with Delta Lake and Lakehouse architecture
Exposure to Python / PySpark / Scala
Familiarity with monitoring tools (Azure Monitor, Splunk)
Knowledge of multi-cloud environments (AWS/GCP)
Experience in data engineering or ETL pipelines
Preferred Skills
- Azure Databricks
Educational Requirements
MCA,MSc,MTech,BCA,BSc,BTech
Python-Pyspark Developer
Responsibilities
We are looking for an experienced Python PySpark Developer to design, develop, and optimize large-scale data processing systems. The ideal candidate will work on big data platforms, build scalable ETL pipelines, and process high-volume datasets using Spark and Python.
Key Responsibilities
Data Engineering & Development
Develop and maintain data pipelines using Python and PySpark
Process and transform large datasets in distributed environments
Build scalable ETL/ELT workflows
Big Data Processing
Work with Apache Spark (PySpark) for batch and real-time processing
Optimize Spark jobs for performance and efficiency
Handle structured and unstructured data
Data Integration
Ingest data from multiple sources:
Databases (SQL/NoSQL)
APIs
Files (CSV, JSON, Parquet)
Integrate with data platforms like:
Hadoop (HDFS)
Cloud (AWS, Azure, GCP)
Performance Optimization
Tune Spark jobs (partitioning, caching, parallelism)
Optimize SQL queries and transformations
Improve data processing efficiency and cost
Collaboration & Support
Work with data engineers, data scientists, and analysts
Translate business requirements into technical solutions
Participate in code reviews and agile development practices
Monitoring & Troubleshooting
Debug and resolve issues in data pipelines
Monitor job execution and data quality
Ensure reliability and availability of data workflows
Technical and Professional Requirements
- Primary skills:Python, Pyspark
Preferred Skills
- Python
- PySpark
Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc,BTech
Informatica BDM Admin-Hadoop Admin
Responsibilities
5–9 years of experience in Informatica Administration + Hadoop Administration.
Strong hands-on experience with:
Informatica BDM / Big Data Edition (BDE)
Hadoop ecosystem (HDFS, YARN, Hive)
Experience managing Informatica domains, services, and repositories.
Strong knowledge of ETL concepts and big data processing frameworks.
Hands-on experience with Linux/Unix systems and shell scripting.
Knowledge of cluster management tools (Cloudera, Hortonworks, Ambari).
Experience in performance tuning and troubleshooting.
Proficiency in SQL and HiveQL
Additional Responsibilities
Experience with Spark or other big data processing frameworks.
Knowledge of Kafka or streaming technologies.
Familiarity with cloud platforms (AWS EMR, Azure HDInsight, GCP Dataproc).
Experience with CI/CD tools and DevOps practices.
Exposure to Informatica PowerCenter / IICS.
Understanding of data lake and lakehouse architecture.
Knowledge of monitoring tools (Grafana, Splunk, ELK).
Technical and Professional Requirements
- Primary skills:Technology->Big Data – Hadoop->Hadoop Administration,Technology->Data Management – Data Integration->Informatica
Preferred Skills
- Informatica – Informatica Power Center
- Hadoop Administration
Educational Requirements
MCA,MSc,MTech,BCA,BSc,BTech
IDMC
Responsibilities
Job Summary
We are looking for a skilled Informatica IDMC (Intelligent Data Management Cloud) Developer with 2–5 years of experience in data integration, ETL development, and cloud-based data solutions. The candidate should have hands-on experience with Informatica Cloud services and a strong understanding of data engineering concepts.
Key Responsibilities
Develop and manage ETL/ELT pipelines using Informatica IDMC (IICS)
Design and implement data integration and data migration solutions
Work with Cloud Data Integration (CDI) and Application Integration (CAI)
Extract, transform, and load data from various sources (Databases, APIs, flat files, cloud storage)
Ensure data quality, validation, and governance standards
Optimize ETL jobs for performance and scalability
Collaborate with data architects, analysts, and business teams
Troubleshoot and resolve ETL and data pipeline issues
Maintain technical documentation and best practices
Support production deployments and data operations
Required Skills & Qualifications
Technical Skills
Hands-on experience with Informatica Intelligent Data Management Cloud (IDMC / IICS)
Strong knowledge of:
Cloud Data Integration (CDI)
Data transformations and mappings
Taskflows and workflows
Experience with SQL and relational databases (Oracle, SQL Server, MySQL)
Knowledge of data warehousing concepts
Familiarity with REST/SOAP APIs and web services
Experience with file formats (CSV, JSON, XML)
Understanding of data modeling and ETL best practices
Technical and Professional Requirements
Skill – IDMC ( Intelligent Data Management Cloud )
Preferred Skills
- Data Management – ALL
Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc,BTech
Informatica Admin-UNIX
Responsibilities
5–9 years of experience in Informatica Administration / ETL support.
Strong hands-on experience with:
Informatica PowerCenter / IICS
UNIX/Linux administration and shell scripting
Experience in domain, repository, and service management.
Strong knowledge of ETL processes and data warehousing concepts.
Experience in performance tuning and troubleshooting ETL workflows.
Proficiency in SQL and relational databases (Oracle, SQL Server, etc.).
Familiarity with job scheduling tools (Autosys, Control-M).
Additional Responsibilities
Experience with Informatica BDM or CDI.
Knowledge of cloud platforms (AWS, Azure, GCP).
Familiarity with DevOps/CI-CD tools (Jenkins, Git).
Exposure to Big Data technologies (Hadoop, Spark).
Experience with monitoring tools (Splunk, ELK).
Understanding of data governance and security frameworks.
Technical and Professional Requirements
- Primary skills:Technology->Data Management – Data Integration Administration->Informatica Administration,Technology->Open System->UNIX
Preferred Skills
- Informatica Administration
- UNIX
Educational Requirements
MCA,MSc,MTech,BCA,BSc,BTech
Python-AWS Bedrock Developer
Responsibilities
We are seeking a skilled Python Developer with AWS Bedrock expertise to design and build Generative AI-powered applications on AWS. The ideal candidate will work on LLM integration, API development, and scalable AI solutions, leveraging AWS cloud services.
Key Responsibilities
Generative AI & AWS Bedrock
Develop and deploy AI applications using AWS Bedrock (LLMs and foundation models)
Integrate models such as Anthropic Claude, Amazon Titan, etc.
Design and optimize prompt engineering strategies
Build use cases like:
Chatbots
Document summarization
Q&A systems (RAG)
Recommendation engines
Python Development
Build backend services using Python (FastAPI, Flask)
Develop APIs to integrate AI models into applications
Create reusable modules and services for AI workflows
Cloud Development (AWS)
Work with AWS services:
Lambda (serverless)
API Gateway
S3 (storage)
DynamoDB / RDS
IAM & VPC
Design scalable, secure cloud-native architectures
Data & AI Pipeline Development
Build RAG (Retrieval-Augmented Generation) pipelines
Integrate with:
Vector databases (Pinecone, FAISS, OpenSearch)
Data sources and APIs
Handle preprocessing, embedding, and inference workflows
DevOps & Deployment
Implement CI/CD pipelines using:
GitHub Actions / Jenkins / AWS CodePipeline
Deploy AI applications using Docker (preferred)
Monitor systems using CloudWatch, X-Ray
Security & Governance
Implement secure access to Bedrock models using IAM policies
Ensure data privacy and compliance
Protect APIs and manage authentication/authorization
Required Skills & Qualifications
Core Skills
3–6 years of experience in Python development
Hands-on experience with AWS (mandatory)
Exposure or experience with AWS Bedrock / Generative AI
Programming
Strong proficiency in:
Python
REST API development
Experience with:
FastAPI / Flask
JSON, API integrations
Cloud & AI Skills
Strong understanding of:
Serverless architecture
LLM-based applications
Familiarity with prompt engineering and RAG concepts
AWS Services
Lambda, API Gateway
S3, DynamoDB/RDS
IAM, VPC
Preferred Qualifications
Experience with LangChain / LlamaIndex
Knowledge of vector databases (FAISS, Pinecone, OpenSearch)
AWS Certifications (Solutions Architect / AI Specialty – preferred)
Experience with Terraform (IaC)
Technical and Professional Requirements
- Primary skills:Technology->AWS Bedrock, python
Preferred Skills
- closed models (aws bedrock)
- Python
Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc,BTech
Informatica admin
Responsibilities
Key Responsibilities
Install, configure, and administer Informatica PowerCenter / IDMC (IICS) environments
Manage domains, repositories, and integration services
Monitor ETL jobs and ensure high availability and performance
Handle code deployments and release management across environments
Perform system performance tuning and optimization
Manage user access, roles, and security configurations
Troubleshoot production issues and resolve ETL failures
Perform backup, recovery, and system maintenance tasks
Support data integration teams and developers
Maintain system documentation and operational procedures
Work closely with DBA, infrastructure, and application teams
Required Skills & Qualifications
Technical Skills
Hands-on experience with Informatica PowerCenter Administration
Knowledge of:
Domain configuration and administration
Repository and Integration Services
Workflow monitoring and troubleshooting
Experience in Informatica Intelligent Cloud Services (IICS / IDMC)
Strong knowledge of Unix/Linux commands and shell scripting
Experience with relational databases (Oracle, SQL Server, MySQL)
Familiarity with ETL processes and data warehousing concepts
Experience with performance tuning and troubleshooting
Additional Responsibilities
Preferred Skills (Nice-to-Have)
Experience with Informatica IDMC / IICS administration
Knowledge of cloud platforms (AWS, Azure, GCP)
Familiarity with scheduler tools (Control-M, Autosys)
Experience with CI/CD pipelines and DevOps practices
Exposure to Informatica Data Quality (IDQ)
Knowledge of data security and governance concepts
Basic knowledge of Python or automation scripting
Technical and Professional Requirements
- Primary skills:Technology->Data Management – Data Integration Administration->Informatica Administration
Preferred Skills
- Informatica Administration
Educational Requirements
MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc,BTech