AWS Tech Lead / Senior Data Engineer (AWS, Python, PySpark)

Hi, Everyone

• ******W2 CONTRACT ONLY***W2 CONTRACT ONLY***W2 CONTRACT ONLY******
• 100% Closure & Long-term project, Immediate Interview Surely

• Job Title: AWS Tech Lead / Senior Data Engineer (AWS, Python, PySpark)
• Location: Malvern, PA
• Contract : w2 Contract / c2c Contract
• Local to Malvern, PA only!

JD :

• Job Description: Tech Lead - AWS (15+ Years Experience)
• Skills: Java| AWS | Python | PySpark | Architecture
• ________________________________________
• Summary
• We are seeking an experienced Tech lead (15+ years) with a strong background in Java, AWS, Python, PySpark, and event-driven architectures. You will design and build scalable batch and streaming data pipelines, optimize cloud data platforms, and deliver high-quality, reliable datasets that support analytics, reporting, and machine learning workloads.
• ________________________________________
• Key Responsibilities
• • Architect, build, and maintain driven data pipelines event- using AWS services such as Kinesis, MSK/Kafka, Lambda, Step Functions, SQS/SNS, and Glue/EMR.
• • Develop ETL/ELT workflows using Python and PySpark, ensuring performance, scalability, and cost efficiency.
• • Implement and optimize Spark-based data transformations, partitioning strategies, and data processing frameworks.
• • Design and manage data lake and warehouse structures using S3, Glue Catalog, Athena, and/or Redshift.
• • Build streaming solutions with checkpointing, stateful transformations, idempotency, and schema evolution.
• • Ensure high standards of data quality, observability, monitoring, and alerting (CloudWatch, Datadog, etc.).
• • Implement data security best practices including IAM, encryption (KMS), networking, and governance.
• • Create reusable frameworks, internal libraries, and CI/CD pipelines for automated deployments.
• • Collaborate with data scientists, analysts, and business teams to deliver well-modeled, reliable datasets.
• • Lead design reviews, mentor junior engineers, and contribute to engineering best practices.
• ________________________________________
• Required Qualifications
• • 15+ years of professional experience.
• • Strong expertise in Python and PySpark for large-scale data processing.
• • Advanced hands-on experience with AWS (S3, Glue, EMR, Lambda, Step Functions, Kinesis/MSK, DynamoDB, Athena, Redshift).
• • Deep experience building event-driven and streaming data pipelines.
• • Strong SQL experience for analytical and ETL workloads.
• • Hands-on experience with workflow orchestration tools such as Airflow or Step Functions.
• • Experience with CI/CD, Git, and Infrastructure-as-Code (Terraform or CloudFormation).
• • Strong understanding of distributed systems, Spark performance tuning, data modeling, and cloud cost optimization.
• • Knowledge of data security, encryption, networking, and compliance best practices in cloud environments.

• Soft Skills
• • Strong design and architectural understanding
• • Excellent communication and stakeholder interaction skills
• • Ability to work in a globally distributed team

• Role Descriptions: Sr Developer
• Essential Skills: Sr Developer
• Desirable Skills:
• Keyword:
• Skills: Digital : Python~Digital : Amazon Web Service(AWS) Cloud Computing~Digital : DevOps
• Experience Required: 8-10

NOTE: Please share your updated resume to [email protected]