Description

You will build and maintain data pipelines and database solutions to support data extraction, transformation, and analysis.

Responsibilities

• Write and optimize complex SQL queries, stored procedures, and views for large-scale datasets.
• Build and maintain Python-based data pipelines to automate workflows and integrate various data sources.
• Design and implement ETL processes to support data integration across multiple systems.
• Perform data cleansing and validation to ensure high data quality and consistency.
• Develop and maintain data models to support analytical and reporting needs.
• Troubleshoot and optimize database and Python application performance.

Required Skills

• 5+ years of hands-on experience in SQL development and Python programming.
• Strong proficiency in SQL, including performance tuning and creating stored procedures.
• Experience using Python for data analysis, scripting, and developing data pipelines.
• Hands-on experience with Pandas, NumPy, and Apache Airflow.
• Experience working with ETL processes and data warehousing solutions.
• Proficiency with database management systems such as Oracle, MySQL, PostgreSQL, or SQL Server.
• Any Graduate degree.

Preferred Skills

• Knowledge of data modeling, data lakes, and Big Data technologies like Hadoop or Spark.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Experience in capital markets or financial services, including knowledge of trading platforms and market data.

Key Skills

Education

Any Graduate