Senior Data Engineer – AWS

Senior Data Engineer – AWS

Position Overview

We are looking for a skilled Senior Data Engineer with strong AWS expertise to design, develop, and optimize cloud-based data pipelines and solutions. The role involves hands-on development, collaboration with cross-functional teams, and contributing to scalable, high-performance data platforms. The ideal candidate has solid AWS experience, strong programming skills, and an understanding of data engineering best practices.

Key Responsibilities

• Develop and maintain batch and real-time data pipelines on AWS

• Implement ETL/ELT solutions using AWS Glue, Spark on EMR, and other AWS services

• Assist in workflow orchestration using Apache Airflow (MWAA)

• Support serverless data processing using AWS Lambda

• Participate in designing data warehousing solutions using Amazon Redshift

• Design and manage data storage strategies with Amazon S3 and DynamoDB

• Apply data governance and access controls using AWS DataZone

• Monitor and troubleshoot data platform issues using Amazon CloudWatch

• Collaborate with Analytics, BI, Data Science, and Business teams

• Write clean, efficient code, and perform peer code reviews

• Follow security, compliance, and data governance standards

• Required Skills & Experience

• 5–7 years of experience in Data Engineering or related roles

• 3+ years of hands-on experience designing data solutions on AWS

• Proficiency with: AWS Glue, Amazon EMR (Spark), AWS Lambda, Apache Airflow (MWAA), Amazon EC2, Amazon CloudWatch, Amazon Redshift, Amazon DynamoDB, AWS DataZone, Amazon S3

• Strong programming skills in Python

• Advanced SQL skills with performance tuning expertise

• Understanding of data warehousing, data modeling (Star/Snowflake), ETL/ELT best practices

• Familiarity with Agile/Scrum delivery environments

• Problem-solving and analytical skills

• Nice to Have

• AWS Professional Certification (Solutions Architect / Data Analytics Specialty)

• Experience with real-time streaming (Kinesis, Kafka)

• Exposure to data governance and metadata management tools

• Knowledge of cost optimization in AWS

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