Senior Associate-Python Developer

2 weeks ago


Gurgaon, Haryana, India Acuity knowledge Partners Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job Purpose

As a key member of the DTS team, you will primarily collaborate closely with a global leading hedge fund on data engagements. Partner with data strategy and sourcing team on data requirements to design data pipelines and delivery structures.

Desired Skills and Experience

Essential skills

  • B.Tech/ M.Tech/ MCA with 7+ 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 and Airflow.

Good to have:

  • AI/ML, LLM
  • Databricks, PySpark

Key Responsibilities

  • Engage 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.

Key Metrics

  • Python, SQL. Snowflake, AWS, Airflow
  • Data Engineering and pipelines
  • AI/ML, LLM (good to have)

Behavioral Competencies

  • Good communication (verbal and written)
  • Experience in managing client stakeholders


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