Job highlights

- Must have experience in AWS EMR,Redshift,Databricks,airflow.
- VERY Strong IN Python,and SQL,Spark / Pyspark (Must know PySpark OptimiZation)
- Real time cloud experience - AWS

Data Engineer VERY Strong IN Python, and SQL, Spark / Pyspark (Must know PySpark OptimiZation)

Real time cloud experience - AWS

Must have experience in AWS EMR , Redshift, Databricks , airflow.

Roles & Responsibilities

We are looking for a self-starter to join our Data Engineering team. You will work in a fast-paced setting where you will get an opportunity to build and contribute to the full lifecycle development and maintenance of the data engineering platform. With the Data Engineering team you will get an opportunity to -

Design and implement data engineering solutions that is scalable, reliable and secure on the Cloud environment





Understand and translate business needs into data engineering solutions

Build large scale data pipelines that can handle big data sets using distributed data processing techniques that supports the efforts of the data science and data application teams

Partner with cross-functional stakeholder including Product managers, Architects, Data Quality engineers, Application and Quantitative Science end users to deliver engineering solutions

Contribute to defining data governance across the data platform

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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