Data Engineer-Data Science Implementation Team, APD |WFH till Covid |2+ Years

  • Job typeJob type: Remote
  • Job DurationPermanent
  • Project LevelMedium Level

Project detail



Maintaining, cataloging, and deployingthedata input/output pipelines for various regions and crops. Track the health and performance of the data pipelines. Develop partnerships across regions to expand and improve the data pipelines.

Roles and Responsibility:

  • Troubleshoot, debug, and support existing data pipeline solutions by coordinating with stakeholder teams.
  • Work on the deployment, delivery, and expansion of data pipelines
  • Collaborate with interdisciplinary scientists to gather requirements for data pipelines
  • Work on all aspects of the design, development, validation, scaling and delivery of data pipelinesolutions.
  • Collaborate with analytics and discovery teams to design and plan data engineering solutions
  • Integrate proactive strategies and best practices to ensure security of stored data
  • Maintain data storage systems, access patterns and data solutions such as “data lakes” & “data warehouses”

Minimum Qualification –

  • E/B.Tech – Any Quantitative Discipline with 2+years’ experience

Required Skills:

  • Must have excellent knowledge of Advanced SQL working with large data sets
  • SQL and NoSQL databases
  • Experience with tools for authoring workflows & pipelines (Airflowetc.)
  • Experience with AWS cloudservices (EMR, S3, RedShift, EC2, etc.) and distributed systems
  • Experience with python, R.
  • Proven ability to support, plan, schedule and deliver quality solutions
  • Using automated tools to extract data from primary and secondary sources
  • Experience with data models, techniques for data mining and segmentation.
  • Knowledge of data visualization software like Tableau



  • Quick learner,
  • Result oriented,
  • Courage & Candor,
  • Agility,
  • Relationships & Networks

Skills Required

Industry Categories

Languages required

Freelancer type required for this project