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11 Weeks ago

Senior Associate - Data Engineer

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Vadodara, Gujarat, India
Information Technology
Full-Time
Acuity Knowledge Partners

Overview

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
  • 3-5 years of experience data modeling, data warehousing, and building data pipelines.
  • Skilled in Python (core and pandas) and SQL.
  • Working knowledge of C#, C Sharp and Snowflake
  • Hands-on experience with building QA workflows to ensure robustness to data
  • 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 JIRA Dashboards
  • Exposure to Linux, CI/CD and GitHub
  • Strong problem solving and debugging skills
  • Exposure to data visualization

Education:
  • B.E./B.Tech in Computer Science or related field

Key Responsibilities
  • Partner with data strategy and sourcing team on data requirements to design data pipelines and delivery structures
  • 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, monitor, and distribute datasets at scale
  • Apply robust data quality rules to systemically qualify data deliveries and guarantee the integrity of datasets.
  • Conduct data validation and cleansing to ensure data integrity and accuracy. This includes identifying and rectifying data discrepancies and inconsistencies.
  • Implement and monitor data quality metrics and KPIs to track the quality of data over time. Set up preventive alerts and maintain logs to monitor data quality issues.
  • Engage with technical and non-technical clients as SME on data asset offerings
  • Generate reports on data quality metrics and provide actionable insights to stakeholders. Document data quality processes and maintain comprehensive records of data quality issues and resolutions.
  • Implement or adhere to coding standards and best practices.
  • Demonstrate high attention to detail, should work in a dynamic environment whilst maintaining high quality standards, a natural aptitude to develop good internal working relationships and a flexible work ethic

Key Metrics
  • Python, SQL, C#
  • Data Engineering and Snowflake

Behavioral Competencies
  • Good communication (verbal and written), Attention to detail
  • Experience in managing client stakeholders
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