Posted:3 weeks ago|
Platform:
Work from Office
Full Time
We are looking for an experienced Senior Data Engineer to design, build, and optimize scalable, high-performance data platforms using AWS cloud services and Python. The ideal candidate will play a key role in architecting end-to-end data pipelines, driving automation, ensuring data quality, and enabling analytics and AI workloads across the organization. This role requires deep technical expertise in AWS data services, modern data architecture, and a passion for delivering reliable, high-quality data solutions at scale.
Bachelors or Master’s degree in Computer Science, Information Systems, or related field
5–10 years of hands-on experience in data engineering or data platform development
Expert-level proficiency in Python (pandas, PySpark, boto3, SQLAlchemy)
Advanced experience with AWS Data Services, including: AWS Glue, Lambda, EMR, Step Functions, DynamoDB, EDW Redshift, Athena, S3, Kinesis, Amazon Quicksight. IAM, CloudWatch, CloudFormation / Terraform (for infrastructure automation)
Strong experience in SQL, data modeling, and performance tuning
Proven ability to design and deploy data lakes, data warehouses, and streaming solutions
Solid understanding of ETL best practices, partitioning, error handling, and data validation
Hands-on experience in version control (Git) and CI/CD for data pipelines
Knowledge of containerization (Docker/Kubernetes) and DevOps concepts
Excellent analytical, debugging, and communication skills
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