AWS DATA ENGINEER

Important Note (Please Read Carefully Before Applying)

Do NOT apply if:

less than 5 years or more than 10 years

hands-on AWS Glue / Redshift / Python

support, testing-only, or non-data roles

pure remote

end-to-end data pipeline ownership experience

Apply ONLY if you meet ALL mandatory criteria.

Irrelevant or random profiles will not be shortlisted.

Job Title:

Location:

Experience:

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About the Company

Our client is a trusted global innovator of IT and business services, present in 50+ countries. They specialize in digital & IT modernization, consulting, managed services, and industry-specific solutions. With a commitment to long-term success, they empower clients and society to move confidently into the digital future.

Key Responsibilities

AWS Glue, Lambda, EMR, Step Functions, and Redshift

data lakes and data warehouses

Python-based ETL/ELT frameworks

RDBMS, APIs, Kafka/Kinesis, and SaaS platforms

data modeling, schema design, partitioning, and performance tuning

data quality, observability, and lineage

data governance, security, IAM policies, encryption, and access controls

Data Science, Analytics, Product, and DevOps

CI/CD pipelines

technical leadership, code reviews, and mentoring

• Monitor data platform performance and lead troubleshooting & capacity planning

Mandatory Skills (Must Have)

Data Engineering / Data Platform Development

Python

AWS Data Services

◦ AWS Glue, Lambda, EMR, Step Functions

◦ S3, Redshift, Athena, DynamoDB

◦ Kinesis, CloudWatch, IAM

SQL, data modeling, and performance optimization

data lakes & data warehouses

ETL best practices, error handling, data validation

Git and CI/CD pipelines

CloudFormation or Terraform

✔ Excellent communication and problem-solving skills

Nice-to-Have Skills

• Apache Spark / PySpark on EMR or Glue

• Airflow, dbt, or Dagster

• Real-time streaming (Kafka / Kinesis)

• Lake Formation, Glue Studio, DataBrew

SageMaker / QuickSight

• AWS Certifications (Data Analytics or Solutions Architect)