Data Quality Consultant

Job description

Educational Requirements Bachelor of Engineering Service Line Data Analytics Unit 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, IBMCloud-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 - Technology->Data Management->Data Management - ALL - Technology->Data Management - Data Quality->Informatica DQ - Technology->Data Management Meta Data->Collibra