Description

Key Responsibilities:
🔹 Design and deliver scalable batch and near-real-time data pipelines using SQL, Python, PySpark and Snowflake.
🔹 Build dimensional, normalized and analytical data models for enterprise reporting and analytics.
🔹 Implement automated data quality checks covering profiling, schema validation, reconciliation, completeness, freshness, uniqueness and business rules.
🔹 Develop CI/CD pipelines for SQL, dbt, orchestration code and infrastructure configuration.
🔹 Monitor pipeline health, lineage, cost and performance, and perform root-cause analysis for production issues.
🔹 Integrate data from databases, APIs, files and event-based sources using secure data-access patterns.
🔹 Modernize legacy Informatica PowerCenter workflows into cloud-native ETL/ELT solutions using dbt and modern orchestration platforms.
🔹 Work closely with business and technical stakeholders to translate requirements into robust technical designs.
🔹 Conduct code/design reviews, establish engineering standards and mentor junior data engineers.

⭐ Good to Have:
➕ Snowflake SnowPro Core or equivalent certification
➕ REST APIs / event or streaming data
➕ Great Expectations / Soda / Deequ / dbt Tests
➕ Data observability & lineage
➕ Experience with high-volume security, operational or sensitive datasets
➕ Healthcare / Telecom / Security / Audit / Regulated-domain experience
➕ Technical leadership and team mentoring experience

Key Skills

Education

Any Gradute