Data Engineer

Jash Data Sciences; Maharashtra; On-site; INR 800,000 - 1,200,000; Full time

Job summary

Jash Data Sciences in Pune, India, is looking for passionate Data Engineers to join their innovative team. The ideal candidates will work on cutting-edge Data Engineering projects, focusing on discovering trends, implementing ETL processes, and managing Data Lakes using cloud technologies.

With opportunities for growth, the company values continuous learning and encourages candidates with strong Python skills, hands-on experience in cloud environments, and a track record in data engineering to apply.

Qualifications

• 1-2 years of experience for Data Engineer I, 2-5 years for Data Engineer II.
• Hands-on Python programming experience required.
• Experience with designing and implementing Data Lakes and Warehouses.

Responsibilities

• Discover trends and develop algorithms for data transformation.
• Implement ETL/ELT processes in the cloud.
• Design Data Lakes and Data Warehouses in AWS, GCP, or Azure.

Skills

Python coding skills

Data Engineering concepts

Database concepts

SQL programming

Big Data technologies

Team collaboration

Education

Bachelor's/Master's degree in Computer Science

Courses/Certifications in Data Engineering

Tools

AWS

GCP

Azure

PostgreSQL

PySpark

Hadoop

Job description

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/Master'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.