Experion Technologies
AWS Data Engineer
Skills
1 month ago
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Important information
Contract type:
Permanent
Salary:
₹2,000,000 – ₹2,800,000 / year
Location:
Kochi, Kerala, India
Work mode:
Onsite
Published on:
30 September 2026
What they need
About the Role
We are seeking a highly skilled Senior Data Engineer (Contractor) to design, build, and optimize scalable data platforms and pipelines. This role will play a critical part in developing modern data lakehouse architectures on AWS, enabling advanced analytics and data-driven decision-making across the organization.
Responsibilities
- 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.
- Job Purpose (both Onsite / Offshore)
- Job Description / Duties and Responsibilities
- Job Specification / Skills and Competencies
Qualifications
- 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.
- Qualification Graduate
- Total Experience 5+ years
- Relevant Experience 3+ years
Required Skills
- Strong expertise in big data technologies, including:
- Role – Data Engineer
- Skills – Mandatory
- AWS EMR, ECS, Step functions, Dynamo DB, Glue, PySpark, Python
- Skills - Primary
- AWS EMR, ECS, Step functions, Dynamo DB, Glue, PySpark, Python
- 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.
- Work Location Trivandrum/Kochi/Remote
- Expected Date of Onboarding Immediate
- Number of Positions 5
- Work Shifts – General / US / UK
- General with overlapping
Preferred Skills
- 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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