Data Engineer

1 week ago

Pune, Maharashtra, India Jash Data Sciences Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Do you love solving real-world data problems with the latest and best techniques? And having fun while solving them in a team Then come join our high-energy team of passionate data people. Jash Data Sciences is the right place for you.

We are a cutting-edge Data Sciences and Data Engineering startup based in Pune, India.

We believe in continuous learning and evolving together. And we let the data speak

What will you be doing?

  • You will be discovering trends in the data sets and developing algorithms to transform raw data for further analytics
  • Create Data Pipelines to bring in data from various sources, with different formats, transforming it, and finally loading it to the target database.
  • Implement ETL/ ELT processes in the cloud using tools like AirFlow, Glue, Stitch, Cloud Data Fusion, DataFlow.
  • Design and implement Data Lake, Data Warehouse, and Data Marts in AWS, GCP, or Azure using Redshift, BigQuery, PostgreSQL, etc.
  • Creating efficient SQL queries and understanding query execution plans for tuning queries on engines like PostgreSQL.
  • Performance tuning of OLAP/ OLTP databases by creating indices, tables, and views.
  • Write Python scripts for orchestration of data pipelines
  • Have thoughtful discussions with customers to understand their data engineering requirements. Break complex requirements into smaller tasks for execution.

What do we need from you?

  • Strong Python coding skills with basic knowledge of algorithms/data structures and their application.
  • Strong understanding of Data Engineering concepts including ETL, ELT, Data Lake, Data Warehousing, and Data Pipelines.
  • Experience designing and implementing Data Lakes, Data Warehouses, and Data Marts that support terabytes scale data.
  • A track record of implementing Data Pipelines on public cloud environments (AWS/GCP/Azure) is highly desirable
  • A clear understanding of Database concepts like indexing, query performance optimization, views, and various types of schemas.
  • Hands-on SQL programming experience with knowledge of windowing functions, subqueries, and various types of joins.
  • Experience working with Big Data technologies like PySpark/ Hadoop
  • A good team player with an ability to communicate with clarity
  • Show us your git repo/ blog

Qualification

  • 1-2 years of experience working on Data Engineering projects for Data Engineer I
  • 2-5 years of experience working on Data Engineering projects for Data Engineer II
  • 1-5 years of Hands-on Python programming experience
  • Bachelors/Masters's degree in Computer Science is good to have
  • Courses or Certifications in the area of Data Engineering will be given a higher preference.
  • Candidates who have demonstrated a drive for learning and keeping up to date with technology by continuing to do various courses/self-learning will be given high preference.

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