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.
Job Overview: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.
Key Responsibilities
Architect and implement scalable, fault-tolerant data pipelines using AWS Glue, Lambda, EMR, Step Functions, and Redshift
Build and optimize data lakes and data warehouses on Amazon S3, Redshift, and Athena
Develop Python-based ETL/ELT frameworks and reusable data transformation modules
Integrate multiple data sources (RDBMS, APIs, Kafka/Kinesis, SaaS systems) into unified data models
Lead efforts in data modeling, schema design, and partitioning strategies for performance and cost optimization
Drive data quality, observability, and lineage using AWS Data Catalog, Glue Data Quality, or third-party tools
Define and enforce data governance, security, and compliance best practices (IAM policies, encryption, access control)
Collaborate with cross-functional teams (Data Science, Analytics, Product, DevOps) to support analytical and ML workloads
Implement CI/CD pipelines for data workflows using AWS CodePipeline, GitHub Actions, or Cloud Build
Provide technical leadership, code reviews, and mentoring to junior engineers
Monitor data infrastructure performance, troubleshoot issues, and lead capacity planning
Required Skills & Qualifications
Bachelor’s 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:
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