Sr. Data Engineer - Databricks
Anblicks (company site, opens in a new tab)6–10 yrsHyderabadOn-siteDirect career pageEst. 16–28 LPA
Posted on 15 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and optimize scalable ETL/ELT data pipelines and data platforms primarily using Databricks, Apache Spark, Python, Java, and SQL.
- Implement robust data ingestion, transformation, processing, validation frameworks, and perform performance tuning on Spark jobs, SQL queries, and pipelines handling large-scale datasets.
- Collaborate with data, cloud, analytics, and engineering teams to deliver scalable, production-grade data engineering solutions, troubleshoot production issues, and mentor junior engineers.
Minimum Requirements
- 6+ years of professional experience in data engineering/software development with delivery of production-grade data solutions.
- Strong hands-on experience with Databricks and Apache Spark for building scalable ETL/ELT pipelines.
- Proficiency in Python, Java, and advanced SQL including query optimization and working with large datasets.
- Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or relevant technical field.
Ideal Candidate Profile
- Experienced in designing and maintaining scalable, distributed data processing solutions in enterprise environments using modern data engineering tools and frameworks.
- Comfortable working in Agile teams collaborating cross-functionally including cloud and analytics groups.
- Familiarity with cloud-based data platforms (preferably AWS), Delta Lake, and CI/CD/DevOps practices applied to data engineering is advantageous.