Senior AWS Data Engineer | (3-6) years | Remote

Discipline: Cloud Engineer-Azure/ AWS/GCP
Job type: Permanent
Contact name: Sourav Guha

Contact email:
Job ref: 38672
Published: about 3 hours ago

Sr. AWS Data Engineer | 3+ years | Remote

Our client is looking for someone who has strong experience in designing, building and operationalizing enterprise data solutions and applications using AWS and data analytics. One should have experience in Database, Application architecture, SQL, Big Data technologies, AWS Technologies.


Location- Remote


Your Future Employer- IT Technology solutions provider that leverages data to enable business insights focusing on Data Warehousing, Data Integration, Analytics, Business Intelligence, Big Data, Cloud and Digital Computation.



  1. Ability to work in Agile development environment and communicate effectively with multiple stakeholders.
  2. Creating data models from various sources and identifying opportunities to improve performance by improving database structure or indexing methods
  3. Analyzing data for insights to develop strategies and make business decisions
  4. Developing new applications using existing data sets and maintaining existing applications by updating existing code or adding new features
  5. Designing and implementing security measures to protect data and recommending infrastructure changes to improve storage capacity or performance



  1. Minimum 3 years of experience in Data warehouse solutions
  2. Minimum 1-year hands on experience in building, designing and operationalizing enterprise data solutions using one or more of AWS services like Spark, EMR, DynamoDB, Redshift, Kinesis, Lambda, Glue, DMS, S3, RDS, Snowflake
  3. Knowledge of designing and building data pipelines using Java / Python / Scala
  4. Experience with Big Data technologies like Hadoop/Hive/Spark and SQL
  5. Experience in Redshift and AWS RDS


What is in it for you-

  1. A stimulating working environment with equal employment opportunity
  2. Growing skills while working with industry leaders and top brands
  3. 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 


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Profile Keywords- AWS, Data Engineer, Data warehouse, enterprise data solutions, Spark, EMR, DynamoDB, Redshift, Kinesis, Lambda, Glue, DMS, S3, RDS, Snowflake, Cloud