Zensar

Global IT services for digital transformation

Data Engineer - AWS, PySpark

Data EngineeringConfirmed live in the last 24 hours

Full-timeHyderabad, Telangana, IndiaNo salary listedIn-person

About the Job

Requirements

At least 4 years of relevant experience, including hands-on experience with big data technologies.
Hands-on experience with Python and PySpark is mandatory.
Hands-on experience with version control tools such as Git.
Experience with Amazon analytics services such as Amazon EMR, Amazon Athena, and AWS Glue.
Experience with Amazon compute services such as AWS Lambda and Amazon EC2, Amazon S3, and services such as Amazon SNS.
Knowledge of data warehousing concepts, including dimensions, facts, and schemas such as snowflake and star schemas, is desirable.
Experience with columnar storage formats such as Parquet and compression techniques such as Snappy and Gzip.
Knowledge of at least one AWS database, such as Aurora, RDS, Redshift, ElastiCache, or DynamoDB, is desirable.

Responsibilities

Build PySpark applications using Spark DataFrames in Python.
Optimize Spark jobs that process large volumes of data.

Desired Qualifications

Knowledge of data warehousing concepts, including dimensions, facts, and schemas such as snowflake and star schemas.
Experience with columnar storage formats such as Parquet and compression techniques such as Snappy and Gzip.
Knowledge of at least one AWS database, such as Aurora, RDS, Redshift, ElastiCache, or DynamoDB.

Data Engineer (AWS + pySpark)

Having 4+ yrs years of relevant experience, which includes hands on experience in Big Data technologies.
Mandatory - Hands on experience in Python and PySpark.
Build pySpark applications using Spark Dataframes in Python.
Worked on optimizing spark jobs that processes huge volumes of data.
Hands on experience in version control tools like Git.
Worked on Amazon’s Analytics services like Amazon EMR, Amazon Athena, AWS Glue.
Worked on Amazon’s Compute services like Amazon Lambda, Amazon EC2 and Amazon’s Storage service like S3 and few other services like SNS.
Good to have knowledge of datawarehousing concepts – dimensions, facts, schemas- snowflake, star etc.
Have worked with columnar storage formats - Parquet etc. Well versed with compression techniques – Snappy, Gzip.
Good to have knowledge of AWS databases (atleast one) Aurora, RDS, Redshift, ElastiCache, DynamoDB.am

About the Company

Zensar

Global IT services for digital transformation

Digital solutions and IT services company that partners with global organizations to drive digital transformation. Its offerings include intelligent automation, analytics, hyperconverged infrastructure, and digital application development and maintenance, delivered through long-term contracts, project-based engagements, and managed services. Indigo Slate handles virtual event creation. Zensar’s Living AI integrates artificial intelligence into business processes to boost outcomes. Unlike many competitors, it emphasizes reducing capital expenditure (Capex) and operating expenditure (Opex), simplifying vendor management, and improving efficiency through automation. The overall goal is to help clients adapt to the digital landscape, optimize technology infrastructure, and achieve higher operational efficiency.

Company size: 10,001+
Company stage: IPO
Headquarters: Pune, India
Founded: 1991

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