Description

JD:

We are looking for a highly skilled and experienced Senior Databricks Data Engineer with over 6 years of expertise in building, optimizing, and maintaining data pipelines and data integration solutions. The ideal candidate will have hands-on experience with Databricks, Python, Snowflake, BigQuery, and SQL, and should be capable of working on critical data engineering projects in a fast-paced environment.

Key Responsibilities:

Design, develop, and maintain scalable data pipelines using Databricks and related technologies.

Implement efficient data transformation processes using Python and SQL.

Integrate and manage data across cloud data platforms such as Snowflake and BigQuery.

Optimize and troubleshoot data workflows for performance and reliability.

Collaborate with data scientists, analysts, and other stakeholders to understand data requirements.

Ensure data quality, governance, and security standards are met across all solutions.

Work on critical data engineering tasks with minimal supervision and high accountability.

Required Skills:

6+ years of hands-on experience in data engineering.

Strong expertise in Databricks and Apache Spark.

Proficient in Python programming for data processing.

Solid experience working with Snowflake and Google BigQuery.

Advanced SQL skills for querying and managing large datasets.

Experience in building and maintaining data lakes and warehouses on cloud platforms.

Strong analytical, problem-solving, and communication skills.
 

Education

Any Graduate