Delivery Lead - Python Developer

Job PurposeAs a key member of the DTS team, you will primarily collaborate closely with a leading global hedge fund on data engagements. Partner with data strategy and sourcing team on data requirements to design data pipelines and delivery structures.Key ResponsibilitiesEngage with vendors and technical teams to systematically ingest, evaluate, and create valuable data assets. Collaborate with core engineering team to create central capabilities to process, manage and distribute data assts at scale. Interpret business requirements and work with internal resources as well as application vendors. Design, develop, and maintain custom data engineering pipelines. Troubleshoot and resolve data-related issues. Configure and create data models and data quality rules to meet customer needs. Review and analyze data from multiple internal and external sources. Analyze existing Python code and identify areas for optimization. Write new optimized SQL queries or Python scripts to improve performance and reduce run time. Identify opportunities for efficiency and innovative approaches to completing the scope of work. Write clean, efficient, and well-documented code that adheres to best practices and Council IT coding standards. Deliver results under demanding timelines to real-world business problems. Work independently and multi-task effectively. Configure system settings and options and execute unit/integration testing. Apply robust data quality rules to systemically qualify data deliveries and guarantee the integrity of financial datasets. Engage with technical and non-technical clients as SME on data asset offerings. Good communication (verbal and written)Experience in managing client stakeholdersKey competenciesEssential SkillsB.Tech/ M.Tech/ MCA with 4+ years of overall experience. Skilled in Python and SQL. Experience with data modeling, data warehousing, and building data pipelines. Experience working with FTP, API, S3 and other distribution channels to source data. Experience working with financial and/or alternative data products. Experience working with cloud native tools for data processing and distribution. Experience with Snowflake, Airflow, Databricks, and PySparkNice to HaveAI/ML, LLM