Data Quality Consultant

Responsibilities

Deploy across Data Management & Data Quality engagements with minimal reskilling. Work independently with customers, Infosys sales/delivery leadership (PMs, SPMs, GPMs) remotely or on-site. Contribute to practice development, proposals, and thought leadership.

▸ Design & implement DQ solutions on Informatica DQ/CDQ, Collibra DQ, Ataccama, Precisely, Soda, Acceldata, IBM

▸ Cloud-native DQ on Databricks (Delta Live Tables expectations, Unity Catalog constraints) & Snowflake (data metric functions, Dynamic Tables)

▸ Hyperscaler-native: AWS Glue DQ (DQDL), Amazon Deequ; GCP Dataplex Auto DQ, BigQuery DQ rules; Azure Purview / MS Fabric DQ

Additional Responsibilities

▸ Certifications: Informatica Cloud Data Quality Professional , Databricks Data Engineer, SnowPro, AWS Data Analytics Specialty, GCP Professional Data Engineer

▸ Data observability platforms: Monte Carlo, Lightup, Bigeye, or Acceldata Observe

▸ Data contract standards (OpenDataContract) & producer-consumer quality enforcement

▸ Real-time streaming DQ on Kafka / Kinesis / Pub-Sub

Technical and Professional Requirements

2+ end-to-end DQ implementations on one or more enterprise DQ tools

▸ Hands-on with Databricks / Snowflake native DQ or equivalent cloud lakehouse DQ

▸ Proficiency in SQL, Python (PySpark, pandas), dbt tests or Great Expectations for code-first DQ

Preferred Skills

• Data Management – ALL
• Informatica DQ
• Collibra

Educational Requirements

Bachelor of Engineering