Job Description:

Jash Data Sciences: Letting Data Speak!

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 and 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, transform it, and finally load it to the target database.

- Implement ETL/ ELT processes in the cloud using tools like AirFlow, Glue, Stitch, Cloud Data Fusion, and 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 the 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 of 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 the 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' 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.