Data Engineer- AWS – (6-12 years) – Bangalore/Gurgram/Mumbai

Discipline: Analytics
Job type: Permanent
Contact name: Rudrakshi Varma

Contact email:
Job ref: 36548
Published: 5 days ago
Startdate: 28/03/2022

Data Analytics Engineer- AWS (6-12 years) Bangalore/Gurgram/Mumbai

A job opportunity for a professional having more than 3 years of experience in AWS services. Someone having experience in EMR/MSK/Elasticsearch/Neptune, Python, besides PySpark, SQL, JAVA/Scala, and AWS Dynamo DB is the right fit for the job.

#AWS #Python #EMR #Pyspark #Scala #Lamda #SQL #Neptune #JAVA #JAVA #Neptune

Location: Gurgaon/Mumbai/Bangalore

Your Future Employer: One of the top multinational artificial intelligence company that provides services in consumer packaged goods, insurance, healthcare, life sciences, retail and technology, and the financial sector.


  • Working closely with Product Owners and AWS Professional Service Architects to understand requirements, formulate solutions, and implement them.

  • Implementing scalable data transformation pipelines as per design.

  • Implementing Data model and Data Architecture as per laid out design.

  • Evaluating new capabilities of AWS analytics services, developing prototypes, and assisting in drawing POVs, participating in design discussions.


  • Minimum 2 years’ experience implementing transformation and loading of data.

  • At least 2 years implementing solutions using AWS services such as Lambda, AWS Athena and Glue AWS S3, Redshift, Kinesis, Lambda, Apache Spark

  • Experience working with data warehousing data lakes or Lakehouse concepts on AWS

  • Experience implementing batch processing using AWS Glue/Lake formation, & Data Pipeline, EMR/MSK/Elasticsearch/Neptune

  • Experience or Exposure to AWS Dynamo DB will be a plus

  • Develop object-oriented code using Python, besides PySpark, SQL, and one other language

    ( Java or Scala would be preferred).

  • Experience in Streaming technologies both OnPrem/Cloud such as consuming and producing from Kafka, Kinesis, building pipelines and orchestration of workflows in an enterprise environment using Apache Airflow/Control M

  • Experience implementing Redshift on AWS or any one of Databricks on AWS, or Snowflake on AWS.

What’s in it for you:

  • A great career opportunity that boosts your professional growth.

  • A stimulating working environment with equal employment opportunity.

  • Growing of skills while working with industry leaders and top brands.

  • A meritocratic culture with great career progression.


Reach us: If you feel that you are the right fit for the role please share your updated CV at