Description

You will build data-driven solutions to optimize backend performance and enhance business intelligence capabilities.

This role is on-site.

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 data sources.
• Design and implement ETL processes to support data integration across multiple systems.
• Develop and maintain data models to support analytical and reporting needs.
• Perform data cleansing, validation, and troubleshooting to ensure high data quality.

Required Skills

• 4-8 years of hands-on experience in SQL development and Python programming.
• Strong proficiency in SQL, including performance tuning and complex query writing.
• Experience using Python for data analysis, scripting, and pipeline development.
• Practical experience with Oracle, MySQL, or PostgreSQL.
• Working knowledge of ETL processes and data warehousing solutions.
• Experience with data integration tools and frameworks such as Apache Airflow, Pandas, and NumPy.
• Familiarity with cloud platforms including AWS, Azure, or Google Cloud Platform.
• Ability to work within an Agile environment.

Preferred Skills

• Knowledge of Big Data technologies like Hadoop or Spark.
• Experience in the capital markets or financial services industry.
• Familiarity with data visualization tools such as Tableau, Power BI, or Looker.

Key Skills

Education

Any Graduate