Azure Data Engineer
- Randomtrees
- 7 - 10 years
- Hyderabad
- 8 months ago
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Job Description
Position : Senior Data Engineer Databricks Expert
We are seeking a Senior Data Engineer with in-depth knowledge of Databricks and Unity Catalog to serve as the subject matter expert for all things Databricks within our organization. This role requires deep expertise in Databricks, including CI/CD setup for data bricks, data lineage through Unity Catalog, and strong proficiency in ETL, SQL, and modern data engineering practices. You will be the go-to person for designing, implementing, and optimizing data solutions with Databricks.
Key Responsibilities:
- Serve as the point of contact and subject matter expert for all Databricks-related activities, including architecture, development, and operational best practices.
- Design, develop, and manage ETL/ELT pipelines in Databricks using Python (PySpark), integrating various data sources to support business operations.
- Leverage Unity Catalog to ensure data lineage, security, and governance are properly managed across the Databricks environment.
- Implement and maintain CI/CD pipelines for Databricks, ensuring smooth deployments, version control, and automation using Git and other DevOps tools.
- Build scalable data architectures, including Data Lakes, Lakehouses, and Data Warehouses, ensuring efficient data management and accessibility.
- Configure and optimize Databricks clusters, jobs, and workflows for both batch and streaming data processing to handle large-scale datasets.
- Stay up to date with the latest Databricks features and advancements, continuously enhancing our data engineering practices.
- Collaborate with cross-functional teams to implement data governance and ensure compliance with security and industry regulations.
- Monitor and tune Databricks workloads to ensure high performance and scalability, adapting to business needs as required.
- Provide guidance and mentorship to junior engineers, ensuring adherence to best practices and fostering a collaborative environment.
- Maintain technical documentation and provide training to internal stakeholders on Databricks tools and processes.
Qualifications:
- 5+ years of experience in data engineering with significant expertise in Databricks and Apache Spark.
Proficient in Unity Catalog for managing data lineage, security, and governance within the Databricks ecosystem.
Experience building and optimizing ETL pipelines using tools like Azure Data Factory, Informatica, or similar.
Strong understanding of CI/CD practices with experience in Git for version control and integration with Databricks.
Expertise in SQL development and performance tuning for large-scale datasets.
Knowledge of the Azure ecosystem, including data services like Azure Data Lake and Azure Storage.
Ability to work with both batch and streaming data processing pipelines.
Experience with data modelling and dimensional design (e.g., star schema).
Good understanding of data governance, compliance, and security best practices.
Excellent communication and problem-solving skills, with the ability to manage multiple priorities.
Ability to stay current on Databricks innovations and proactively introduce new features and capabilities to the team.Role & responsibilities
Preferred candidate profile
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data EngineerEmployement Type: Full timeContact Details:
Company: RandomtreesLocation(s): Hyderabad
Keyskills: Azure Data Lake pyspark ETL Azure databricks SQL Apachespark Azure Data Factory data warehouse
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