Senior Engineer – Data Engineering (Databricks) - India
Object Edge (company site, opens in a new tab)5+ yrsMumbaiRemoteDirect career pageEst. 15–28 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Lead technical delivery of innovative data solutions on the Databricks platform utilizing core cloud data lakehouse methodologies and event streaming.
- Design and implement complex data pipelines and components under solution architect guidance ensuring timely delivery.
- Contribute to Databricks Center of Excellence initiatives by developing solution accelerators and advancing best practices.
Minimum Requirements
- 5+ years of data engineering experience with at least 2 years hands-on with Databricks platform features (Delta Lake, Uniform/Iceberg, Delta Live Tables, Unity Catalog).
- Proficient with batch, micro-batch, streaming data pipelines, orchestration tools (Databricks workflows, Airflow, dbt), and data quality frameworks (Great Expectations, Collibra).
- Strong programming skills in SQL, Java, Python, PySpark; experience with Big Data platforms (Apache Spark, Presto, Amazon EMR) and Cloud data warehouses (Redshift, Snowflake, BigQuery).
- Work Experience Required: 5+ years; Notice Period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in designing scalable, configurable, and observable data pipelines with modern tools and best practices within large enterprise or consulting environments.
- Skilled in integrating multiple data engineering technologies including DevOps practices like CI/CD pipelines and automation with Databricks Asset Bundles.
- Certified or highly experienced with Databricks Data Engineering Associate or Professional certifications and multiple successful project deliveries on Databricks.