Technologies: Python, PySpark, Databricks, BigQuery, AWS Redshift, Snowflake, SQL, NoSQL, Hive, Cassandra

Job Description:
We are hiring a Data Engineer to design and maintain large-scale data processing systems. You will work with PySpark, Databricks, and SQL/NoSQL databases to transform and optimize datasets for analytics. Your focus will be building ETL pipelines, ensuring data quality, and enabling real-time insights for business decisions.

Responsibilities:

• Design and maintain data pipelines using PySpark and Databricks.
• Work with relational and NoSQL databases (PostgreSQL, MongoDB, Cassandra).
• Optimize queries and storage for large-scale data in Snowflake, Redshift, and BigQuery.
• Collaborate with analytics and AI teams to deliver actionable insights.

Qualifications:

• Strong experience in Python, SQL, and PySpark.
• Knowledge of cloud data platforms (AWS, GCP).
• Experience with ETL, Big Data frameworks (Hive, Hadoop), and data modeling.