AWS Data Engineer (Informatica IICSIDMC)
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Job Summary
Key Skills
Python
AWS Cloud Computing
PostgreSQL
Oracle SQL
Informatica CDI (Cloud Data Integration)
Role Overview
Lead the design development and optimization of scalable data platforms and pipelines using AWS cloud services and modern data engineering technologies.
Collaborate with business stakeholders architects analysts and application teams to gather requirements and deliver high-quality data solutions.
Design and build batch and real-time data ingestion transformation and orchestration frameworks supporting analytics and downstream applications.
Analyze complex data and system challenges and deliver scalable efficient and high-performance solutions.
Ensure best practices across data modeling coding standards testing security governance and deployment.
Own assigned data domains and pipelines from design through production support with minimal supervision.
Mentor and guide junior engineers and promote technical excellence.
Evaluate and adopt new AWS services and frameworks to enhance data platform capabilities.
Essential Skills & Experience
10 years of professional experience in data engineering and ETL processes (IICS/IDMC).
Strong hands-on experience with Informatica IICS/IDMC.
Proven experience in AWS Cloud services such as S3 and Lambda.
Strong experience delivering enterprise-scale data integration transformation and analytics solutions.
Hands-on experience in designing data warehouses and scalable ETL/ELT frameworks.
Strong SQL and RDBMS experience (PostgreSQL Oracle).
Experience working independently and collaborating with global teams and stakeholders.
Excellent analytical and communication skills with ability to translate business requirements into technical solutions.
Technical Skills
Strong hands-on experience in IICS/IDMC (Informatica Cloud Data Integration).
Strong programming experience in Python and SQL.
Working knowledge of Spark / PySpark for large-scale data processing.
Hands-on experience in ETL/ELT pipeline development and workflow orchestration using:
AWS Glue Workflows
IICS/IDMC
Experience with AWS data services including: S3 Glue Lambda Redshift Step Functions CloudWatch
Familiarity with event-driven architecture using SQS or similar services.
Experience with CI/CD pipelines Git workflows and Infrastructure as Code (CloudFormation).
Understanding of Agile delivery methodologies.
Strong knowledge of data governance metadata management security access control and data quality in AWS environments.
Additional Requirements
Participation in after-hours/weekend support for critical production issues on a rotation basis.
Hybrid work model with 1 day/week at customer office.
AWS certification (e.g. AWS Certified Data Engineer Solutions Architect or equivalent) is a plus.
Desirable Skills
Advanced experience in AWS data ecosystem and large-scale distributed data processing.
Exposure to enterprise data platforms and modernization initiatives.
Required Skills:
Key Skills Python AWS Cloud Computing PostgreSQL Oracle SQL Informatica CDI (Cloud Data Integration) Role Overview Lead the design development and optimization of scalable data platforms and pipelines using AWS cloud services and modern data engineering technologies. Collaborate with business stakeholders architects analysts and application teams to gather requirements and deliver high-quality data solutions. Design and build batch and real-time data ingestion transformation and orchestration frameworks supporting analytics and downstream applications. Analyze complex data and system challenges and deliver scalable efficient and high-performance solutions. Ensure best practices across data modeling coding standards testing security governance and deployment. Own assigned data domains and pipelines from design through production support with minimal supervision. Mentor and guide junior engineers and promote technical excellence. Evaluate and adopt new AWS services and frameworks to enhance data platform capabilities. Essential Skills & Experience 10 years of professional experience in data engineering and ETL processes (IICS/IDMC). Strong hands-on experience with Informatica IICS/IDMC. Proven experience in AWS Cloud services such as S3 and Lambda. Strong experience delivering enterprise-scale data integration transformation and analytics solutions. Hands-on experience in designing data warehouses and scalable ETL/ELT frameworks. Strong SQL and RDBMS experience (PostgreSQL Oracle). Experience working independently and collaborating with global teams and stakeholders. Excellent analytical and communication skills with ability to translate business requirements into technical solutions. Technical Skills Strong hands-on experience in IICS/IDMC (Informatica Cloud Data Integration). Strong programming experience in Python and SQL. Working knowledge of Spark / PySpark for large-scale data processing. Hands-on experience in ETL/ELT pipeline development and workflow orchestration using: AWS Glue Workflows IICS/IDMC Experience with AWS data services including: S3 Glue Lambda Redshift Step Functions CloudWatch Familiarity with event-driven architecture using SQS or similar services. Experience with CI/CD pipelines Git workflows and Infrastructure as Code (CloudFormation). Understanding of Agile delivery methodologies. Strong knowledge of data governance metadata management security access control and data quality in AWS environments. Additional Requirements Participation in after-hours/weekend support for critical production issues on a rotation basis. Hybrid work model with 1 day/week at customer office. AWS certification (e.g. AWS Certified Data Engineer Solutions Architect or equivalent) is a plus. Desirable Skills Advanced experience in AWS data ecosystem and large-scale distributed data processing. Exposure to enterprise data platforms and modernization initiatives.
Required Education:
Bachelors Degree
