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• No of position :- ( 1 )

• Post :- 27th Nov 2025

We are seeking a highly skilled AWS Data Engineer with extensive experience in AWS technologies to join our team as a contractor.

The ideal candidate will have a strong background in designing, building, and maintaining data pipelines, and must be capable of contributing immediately to our ongoing projects.

Key Responsibilities:

- Utilize AWS services such as Kinesis, S3, Glue, Redshift, and RDS SQL Server for data processing and storage.
- Implement data ingestion processes to handle streaming and batch data.
- Ensure data quality and integrity through robust ETL processes.
- Collaborate with other data engineers and the Cloud engineering team to develop and deploy data pipelines in AWS.
- Optimize and tune data processing workflows for performance and cost efficiency.
- Monitor and troubleshoot data pipeline issues to ensure continuous data flow and reliability.
- Document data architecture, processes, and workflows.

Qualifications:
- Bachelor's or master’s degree in computer science, Engineering, or a related field.
-Minimum of 5 years of experience in data engineering, with a focus on AWS technologies.
-Proven experience with AWS services including Kinesis, S3, Glue, Redshift, and RDS SQL Server.
- Strong proficiency in SQL and experience with database design and optimization.
- Expertise in ETL/ELT processes and tools.
-Familiarity with data warehousing concepts and best practices.
- Experience with data modeling and schema design.
-Proficiency in programming languages such as Python, Java, or Scala.
- Knowledge of data governance and security best practices in a cloud environment.
- Excellent problem-solving skills and the ability to work independently with minimal supervision.
- Strong communication and collaboration skills.

Preferred Qualifications:
- AWS Certified Data Analytics – Specialty or AWS Certified Solutions Architect.
- Experience with other AWS services such as Lambda, Cloudwatch, Kinesis, Firehose, Event bridge, Redshift, DynamoDB, IAM, RDS SQL Server
- Familiarity with big data technologies like Apache Spark or Hadoop.
- Experience with reporting and visualization tools like Tableau
- Knowledge of DevOps practices and tools for CI/CD such as Jira and Harness.