• US Citizen

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• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 22nd Apr 2025

• Database Development: Write and optimize complex SQL queries, stored procedures, and views for large-scale datasets to support data extraction, transformation, and analysis.
• Data Engineering: Build and maintain data pipelines using Python to automate data workflows, enhance data processing efficiency, and integrate various data sources.
• Collaborate with data analysts and business stakeholders to identify data requirements and provide actionable insights.
• Work on designing and implementing ETL (Extract, Transform, Load) 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 in the capital markets domain.
• Troubleshoot performance issues related to databases and Python applications and optimize for speed and efficiency.
• Design and implement data-driven solutions to provide insights into financial trends, trading systems, and other business functions.
• Work within an Agile environment, participating in daily stand-ups, sprint planning, and code reviews.
• Ensure data security and compliance with industry regulations, particularly in relation to financial data.
Requirements:
• Experience: 14+ years of hands-on experience in SQL development and Python programming, with a focus on backend data systems.
Technical Skills:
• Strong proficiency in SQL (writing complex queries, performance tuning, and creating stored procedures).
• Experience with Python for data analysis, scripting, and developing data pipelines.
• Familiarity with data integration tools and frameworks such as Apache Airflow, Pandas, and NumPy.
• Experience working with ETL processes and data warehousing solutions.
• Strong understanding of database management systems like Oracle, MySQL, PostgreSQL, or SQL Server.
• Knowledge of data modeling, data lakes, and Big Data technologies (e.g., Hadoop, Spark) is a plus.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
Domain Expertise: Experience in the capital markets or financial services industry is highly preferred. Knowledge of financial data systems, trading platforms, and market data is a significant advantage.