AWS Data Engineer (Hybrid)

2 - 4 years

12 - 15 Lacs

Posted:2 days ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

We are seeking a Junior Data Engineer who is enthusiastic about working with data, quick to learn new technologies, and ready to take on challenges in a collaborative environment. If youre a team player with a positive attitude and a drive to grow, we encourage you to apply!

Roles and Responsibilities:

  • Assist in building and maintaining data ingestion, processing, and analytical pipelines using AWS services (ETL/ELT preferred)
  • Support the design of data models for performance and reliability
  • Work with big data, relational databases, NoSQL, and data warehouse solutions under guidance
  • Collaborate with senior engineers on developing, monitoring, and maintaining data pipelines
  • Handle moderate data volumes (10GB–50GB) for ingestion and processing
  • Exposure to tools like AWS Glue, Apache Kafka, AWS Kinesis, Spark, or Airflow is beneficial
  • Participate in data migration and ETL/ELT pipeline development and monitoring
  • Write programs/scripts in Python and SQL for data analysis and reporting
  • Gain hands-on knowledge with data warehouses like Redshift, Snowflake, or BigQuery
  • Work with relational databases (Postgres, MySQL, SQL Server) and basic NoSQL databases (MongoDB, Cassandra)
  • Learn to write queries, functions, procedures, and support performance optimization
  • Collaborate on data migration tasks with manual and automated processes
  • Communicate effectively within your team and attend internal meetings
  • AWS certification or active learning towards it is a plus

Desired Skills:

  • 2-3 years’ experience in a technical data engineering role (internships count)
  • Fundamental understanding of data pipeline concepts, ETL/ELT, and AWS tools
  • Good programming skills in Python and working knowledge of SQL
  • Willingness to learn, adapt, and grow in fast-paced environments

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