Data Engineer

4 days ago


Bengaluru, India Mphasis Full time

ResponsibilitiesAutomate data quality checks and validation processes using SQL, Python, and data testing frameworks.Perform reconciliation, integrity, and transformation testing across data platforms.Work with AWS SageMaker Studio (Unified Studio) for validating ML/data workflows and integrations.Validate data flows on cloud platforms (AWS, Azure).Integrate automated data validation into CI/CD pipelines.Collaborate with development, data engineering, and analytics teams to align on standards, governance, and quality.Qualifications4 + years of Experience in Data Engineering.Required SkillsStrong QA background with experience in data quality testing and automation.Hands-on with Amazon SageMaker Studio (Unified Studio) – must have.Advanced SQL for reconciliation and validation of large datasets.Scripting skills in Python (PyTest, PySpark, automation scripts).Practical experience with cloud data platforms:AWS (S3, Glue, Redshift, Athena, SageMaker Studio).Familiarity with data testing frameworks (Great Expectations, dbt tests, QuerySurge).Knowledge of CI/CD tools (Jenkins, GitHub Actions, Azure DevOps).Preferred SkillsExposure to BI/reporting validation (Power BI, Tableau, Looker).Understanding of data governance and metadata management.Knowledge of big data ecosystems (Spark, Hadoop).API testing experience for data services.Certifications (Preferred/Plus)AWS Certification (AWS Certified Data Analytics, AWS Machine Learning Specialty, or Solutions Architect).Microsoft Azure Data Engineer Associate / Google Cloud Professional Data Engineer.Snowflake SnowPro Certification.Sage Maker Certification.


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