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Data Engineer(AWS EMR, ECS, Step functions, Dynamo DB, Glue, PySpark

Exclusive opportunity

Hybrid

Data Engineer(AWS EMR, ECS, Step functions, Dynamo DB, Glue, PySpark

Experion

Data Engineer(AWS EMR, ECS, Step functions, Dynamo DB, Glue, PySpark

Skills

Big DataDynamoDBPythonPostgreSQLAWS LambdaAmazon RedshiftCybersecurityMachine LearningAWSPySparkAWS Kinesis

2 months ago

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Important information


Contract type:

Permanent

Location:

Kochi, Kerala, India

Work mode:

Hybrid

Published on:

12 August 2026

What they need


  • Design, develop, and maintain analytical data models and metrics using modern, scalable data platform technologies. • Architect and implement data lakehouse solutions leveraging AWS services. • Build, optimize, and maintain robust data pipelines using PySpark, Python, and AWS Glue. • Ensure high performance, reliability, and scalability of data systems. • Collaborate closely with business stakeholders to translate requirements into data solutions. • Partner with architecture and operations teams to enforce best practices, standards, and governance. • Monitor and troubleshoot data workflows, ensuring data quality and system efficiency. • To adhere to the Information Security Management policies and procedures.

  • 5+ years of professional experience in software development, with a focus on analytical platform development. • 3+ years of hands-on experience with data platforms and big data ecosystems.

  • Strong expertise in big data technologies, including:

AWS EMR AWS ECS Step Functions Apache Spark PostgreSQL DynamoDB Apache Iceberg Proficiency in Python and Spark programming. Experience building highly scalable, low-latency data systems (e.g., DynamoDB, Aurora, PostgreSQL, Redshift).

Proven experience designing and implementing data lakehouse architectures on AWS.

Hands-on experience with AWS services such as Step Functions, Lambda, and EventBridge.

Experience working in Agile development environments. Preferred Qualifications Strong knowledge of additional AWS services such as: Kinesis Firehose SQS Bedrock SageMaker Experience with real-time data streaming and event-driven architectures.

Familiarity with machine learning data pipelines is a plus.

Soft Skills & Competencies

Strong ability to learn and adapt to new technologies quickly. Excellent problem-solving and analytical thinking skills.

Ability to work independently and collaboratively in a team environment.

Strong multitasking skills in a fast-paced, dynamic setting. Excellent verbal and written communication skills.

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