AWS Data Engineer

6 days ago

Bengaluru, India People Prime World Wide Full time

About Client:


Our Client is a global IT services company headquartered in Southborough, Massachusetts, USA. Founded in 1996, with a revenue of $1.8B, with 35,000+ associates worldwide, specializes in digital engineering, and IT services company helping clients modernize their technology infrastructure, adopt cloud and AI solutions, and accelerate innovation.

It partners with major firms in banking, healthcare, telecom, and media. Our Client is known for combining deep industry expertise with agile development practices, enabling scalable and cost-effective digital transformation.

The company operates in over 50 locations across more than 25 countries, has delivery centers in Asia, Europe, and North America and is backed by Baring Private Equity Asia.


Job Title : AWS Data Skills : Data Engineer , Python , Pyspark , Scala , SQL, hiveSQL.


Job Locations : Pan : Qualification : Any Mode : Type : Period : Immediate.


Job responsibilities: AWS Data Engineer , Pyspark (optimization), Redshift, Glue, SQL (queries), ETL (pipelines), JD :


- Seeking a developer who has good Experience in Athena, Python code, Glue, Lambda, DMS, RDS, Redshift Cloud Formation and other AWS serverless resources.

- Can optimize data models for performance and efficiency.

- Able to write SQL queries to support data analysis and reporting Design, implement, and maintain the data architecture for all AWS data services.

- Work with stakeholders to identify business needs and requirements for data-related projects


- Design and implement ETL processes to load data into the data warehouse Good Experience in Athena, Python code, Glue, Lambda, DMS, RDS, Redshift, Cloud Formation, and other AWS serverless :


- We are seeking a highly skilled senior / junior AWS Developer to join our team.

- With a primary focus on SQL, the ideal candidate will also have experience with Agile methodologies.

- As a Senior AWS Developer, you will be responsible for optimizing data models for performance and efficiency, writing SQL queries to support data analysis and reporting, and designing and implementing ETL processes to load data into the data warehouse.

- You will also work with stakeholders to identify business needs and requirements for data-related projects and design and maintain the data architecture for all AWS data services.

- The ideal candidate will have at least 5 years of work experience and be comfortable working in a hybrid setting.


(ref:hirist.tech)

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