Job Description
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
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
▸ 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
