Location - Bengaluru
Experience : 2+ years
Key Responsibilities :
data
pipelines using Python and standard data warehousing principles.
the
Databricks platform, leveraging Spark (PySpark) for large-scale data transformation.
and
optimize database performance; contribute to the design and implementation of dimensional
and
relational data models.
documentation;
implement CI / CD practices and automation for data workflows.
understand data requirements and deliver solutions that meet business needs.
implement necessary optimizations to ensure data accuracy and timely delivery.
Required Qualifications
Engineering, or
similar role.
Technical Expertise (Must-Haves) :
relational
databases (e.g., PostgreSQL, SQL Server, MySQL).
(experience with libraries like Pandas, NumPy is a plus).
Delta Lake, Spark (PySpark), and notebook-based development.
Schema,
Snowflake Schema), and ETL / ELT processes.
complex technical concepts to non-technical stakeholders.
Data Engineer • navi mumbai, maharashtra, in