Manager Data Engineer
1 week ago
Role: Manager – Data Engineering
Experience: 9 to 15 years
Location: Chennai
Job Description:
- Architect and design solutions to meet functional and non-functional requirements.
- Lead the design, implementation, and optimization of our Databricks platform.
- Work closely with our data engineering team to ensure that our Databricks platform is optimized for performance, scalability, and reliability.
- Develop and maintain a comprehensive understanding of our data pipeline and data architecture.
- Collaborate with other teams to ensure that our Databricks platform is integrated with other enterprise systems and technologies.
- Develop and maintain documentation for our Databricks platform, including architecture diagrams, deployment guides, and operational procedures.
- Provide guidance and support to our data engineering team on Databricks-related issues.
Job Responsibilities:
- 9-15 years experienced resources in Databricks, Python, Big Data, Apache Spark, SQL and Spark SQL
- Strong hands on in Pyspark and Apache Spark.
- Experience in Building Data Governance Solutions like Unity Catalog …etc
- Build Very Strong Orchestration Layer in Databricks/ADF…. Workflows.
- Build CICD for Databricks in Azure Devops.
- Process near Real time Data thru Auto Loader, DLT Pipelines.
- Implement Security Layer in Delta Lake.
- Implement Massive Parallel Processing Layers in Spark SQL and PySpark.
- Implement Cost effective Infrastructure in Databricks.
- Ability to Build Solutions as Cloud Agnostic.
Required Skills:
- Databricks
- Spark
- Azure
We are an equal opportunity employer and value diversity at our company. We do not
discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression,
sexual orientation, age, marital status, veteran status, or disability status.
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