TrivandrumHybridDirect career pageEst. 8–16 LPA
Posted on 3 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, test, troubleshoot, and optimize end-to-end data engineering solutions including data modeling, ingestion, transformation, orchestration, and production support in a cloud-based environment.
- Develop scalable, secure, observable, and fault-tolerant data workflows using SQL, Python, PySpark, Snowflake, dbt, Airflow, Spark, and AWS services with adherence to medallion architecture and enterprise standards.
- Implement automated data quality controls, governance practices, and collaborate across teams to produce reusable enterprise data products, source-to-enterprise mappings, and validated reports.
Minimum Requirements
- Bachelor's degree in computer science, engineering, information systems, or relevant field, or equivalent practical experience.
- Hands-on experience in advanced SQL, Python, and PySpark or Spark for distributed data processing.
- Experience designing and operating ETL/ELT pipelines, dimensional data models, and production-grade data workflows using Snowflake, dbt, Airflow, and AWS services.
- Work Experience Required: Not explicitly mentioned in the JD. Primary work location is Trivandrum with a hybrid work model.
Ideal Candidate Profile
- Experience working on cloud-based data platforms with enterprise-scale data engineering and analytics responsibilities aligned to medallion architecture and star-schema standards.
- Proficient in building fault-tolerant, scalable data workflows with practical knowledge of CI/CD, version control, automated testing, and Agile delivery methodologies.
- Comfortable collaborating with cross-functional remote teams and translating business requirements into maintainable technical designs in regulated or secure environments.