Data Engineer

Are you passionate about building scalable data solutions and optimizing data workflows? Join the team and help transform raw data into reliable, high-quality datasets!

𝗞𝗲𝘆 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀:

✅ Design, develop, and maintain scalable data pipelines using Databricks and Apache Spark.

✅ Build and manage batch and streaming data workflows.

✅ Implement ETL/ELT processes to transform raw data into curated datasets.

✅ Optimize SQL queries and design Snowflake schemas, including fact and dimension tables.

✅ Manage data access controls and permissions using Unity Catalog.

✅ Monitor data quality, pipeline performance, and reliability.

✅ Collaborate with cross-functional teams to improve data processes and solutions.

𝗤𝘂𝗮𝗹𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀:

✅ At least 2 years of hands-on experience with Databricks Unified Data Analytics Platform .

✅ Strong knowledge of data pipeline architecture, data integration, and transformation.

✅ Experience with Apache Spark/PySpark, ETL/ELT, and SQL query optimization.

✅ Familiarity with cloud-based data platforms and distributed computing.

✅ Strong analytical, troubleshooting, and problem-solving skills.