Data Engineer
3 weeks ago
Location - Bengaluru
Experience : 2+ years
Key Responsibilities:
* Design and Development: Design, build, and maintain robust, scalable, and optimized ETL/ELT data
pipelines using Python and standard data warehousing principles.
* Data Platform Management: Implement and manage data processing jobs and workflows within the
Databricks platform, leveraging Spark (PySpark) for large-scale data transformation.
* Data Modeling and Querying: Develop complex and efficient SQL queries, stored procedures, and
optimize database performance; contribute to the design and implementation of dimensional and
relational data models.
* Code Quality and Automation: Ensure high standards of code quality, testing, and documentation;
implement CI/CD practices and automation for data workflows.
* Collaboration: Work closely with Data Scientists, Analysts, and other software engineers to
understand data requirements and deliver solutions that meet business needs.
* Monitoring and Optimization: Monitor data pipeline performance, troubleshoot issues, and
implement necessary optimizations to ensure data accuracy and timely delivery.
Required Qualifications
* Experience: Minimum of 2 years of professional experience in a Data Engineering, BI Engineering, or
similar role.
* Technical Expertise (Must-Haves):
* Expert proficiency in writing complex, optimized SQL queries and experience with various relational
databases (e.g., PostgreSQL, SQL Server, MySQL).
* Expert proficiency in Python for data manipulation, scripting, and pipeline development
(experience with libraries like Pandas, NumPy is a plus).
* Demonstrated experience and strong working knowledge of the Databricks platform, including
Delta Lake, Spark (PySpark), and notebook-based development.
* Data Concepts: Solid understanding of data warehousing concepts, data modeling (e.g., Star Schema,
Snowflake Schema), and ETL/ELT processes.
* Communication: Excellent communication and collaboration skills, with the ability to explain
complex technical concepts to non-technical stakeholders.
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