Job Description: Tech Lead - AWS (15+ Years Experience)
Location: Malvern, PA
Duration: 6+ months
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
Never miss an opportunity! Create an alert based on the job you applied for.
