Senior AWS Data Engineer / Data Platform Engineer

Northbay
Washington, US
On-site

Job Description

Job Title: Senior AWS Data Engineer / Data Platform Engineer

Experience: 8+ Years

Location: Dubai, UAE (Onsite)

Employment Type: Full-Time

Position Overview

We are seeking a highly experienced Senior AWS Data Engineer to design, build, and optimize large-scale data platforms on AWS. The ideal candidate will have deep hands-on experience with AWS data services, batch and streaming data processing, and orchestration frameworks, playing a key role in architecting and maintaining enterprise-grade data solutions.

Key Responsibilities

  • Design, develop, and optimize scalable data pipelines using AWS native services
  • Lead the implementation of batch and near-real-time data processing solutions
  • Architect and manage data ingestion, transformation, and storage layers
  • Build and maintain ETL/ELT workflows using AWS Glue and Apache Spark on EMR
  • Orchestrate complex data workflows using Apache Airflow (MWAA)
  • Develop and manage serverless data processing using AWS Lambda
  • Design and optimize data warehouses using Amazon Redshift
  • Implement and manage NoSQL data models using Amazon DynamoDB
  • Utilize AWS DataZone for data governance, cataloging, and access management
  • Monitor, log, and troubleshoot data pipelines using Amazon CloudWatch
  • Ensure data security, quality, performance, and cost optimization
  • Collaborate with architects, analytics teams, and business stakeholders
  • Provide technical guidance and mentorship to junior team members

Required Skills & Experience

  • 8+ years of experience in data engineering and data platform development
  • Strong hands-on experience with:
  • AWS Glue
  • Amazon EMR (Spark)
  • AWS Lambda
  • Apache Airflow (MWAA)
  • Amazon EC2
  • Amazon CloudWatch
  • Amazon Redshift
  • Amazon DynamoDB
  • AWS DataZone
  • Strong experience with batch data processing architectures
  • Proficiency in SQL, Python, and Spark
  • Experience working with large-scale datasets and distributed systems
  • Strong understanding of data modeling, data warehousing, and ETL patterns
  • Experience with CI/CD pipelines and Infrastructure as Code is a plus

Nice to Have

  • AWS Certification (Data Analytics / Solutions Architect)
  • Experience with data governance and metadata management
  • Exposure to data lake and lakehouse architectures

Skills & Requirements

Technical Skills

Aws glueAmazon emr (spark)Aws lambdaApache airflow (mwaa)Amazon ec2Amazon cloudwatchAmazon redshiftAmazon dynamodbAws datazoneSqlPythonSpark

Employment Type

FULL TIME

Level

senior

Posted

4/27/2026

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