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 in office. 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 Qualified 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 Excellent 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

📌 Data Quality Consultant Bengaluru
🏢 Infosys
📍 Bengaluru