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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and optimize scalable data pipelines and processing systems using Databricks, Spark, SQL, and Python with a focus on performance, reliability, and cost efficiency.
Develop and orchestrate automated ETL workflows using Airflow, Azure Data Factory, and implement CI/CD pipelines for production data solutions.
Take end-to-end technical ownership including solution design, implementation, optimization, ensuring data quality, governance, and mentoring junior engineers.
Minimum Requirements
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
Minimum 6 years of experience in Data Engineering with strong expertise in big data technologies.
Hands-on expertise with Databricks, Apache Spark, Spark SQL, SQL, Python, Airflow, Azure Data Factory, Delta Lake technologies (Delta Live Tables, Unity Catalog, Delta Sharing).
Work Experience Required: 6+ years in Data Engineering; Location Requirement: Must work from Noida office four days a week (hybrid model).
Ideal Candidate Profile
Experienced in designing and optimizing cloud-based (Azure preferred) data solutions with strong knowledge of data governance, security, and compliance.
Proven ability to lead projects independently, drive technical best practices including testing, modularization, automation, and mentor junior team members.
Comfortable operating in cross-geographic teams overlapping IST and EU time zones, capable of translating stakeholder requirements into technical solutions.