Mandatory Skils:

1. SQL & Python (Mandatory)
2. Writing complex SQL for transformations, aggregations, performance tuning, and analytics
3. Strong Python programming skills (mandatory) for data engineering use cases
4. Strong handson experience with AWS data services, including
5. Amazon S3, AWS Glue, Athena, Redshift
6. PySpark / Sparkbased processing
7. DevOps & Platform Engineering

Looking for a handson AWS Technical Lead Data Engineering with 6 to 10 years of total experience to design and deliver scalable, secure, and highperformance data platforms on AWS. This role focuses on solid individual contribution with technical ownership, working closely with global teams, architects, and clients to deliver enterprisegrade data engineering solutions. The position requires deep expertise in AWS data services, SQL, and Python, and the ability to build and optimize reliable data pipelines for analytics and business use cases.

Cloud & Data Engineering (AWS)
Strong handson experience with AWS data services, including:
Amazon S3, AWS Glue, Athena, Redshift.
Experience designing cloudnative data lakes and data warehouse architectures on AWS.
Deep understanding of batch and streaming data pipelines. Experience building scalable, faulttolerant data ingestion and transformation workflows.

SQL & Python (Mandatory)
Strong SQL expertise.
Writing complex SQL for transformations, aggregations, performance tuning, and analytics.
Handson experience handling largescale datasets in Redshift / Athena
Strong Python programming skills (mandatory) for data engineering use cases.

PySpark / Sparkbased processing
Building reusable ETL components, utilities, and data pipelines
Strong understanding of data modeling, transformations, and performance optimization.

Data Processing & Engineering
Proven handson experience with distributed processing frameworks such as Spark / PySpark.
Experience working with structured, semistructured, and unstructured data.




Solid understanding of schema design, partitioning, and query optimization.

DevOps & Platform Engineering
Experience with Infrastructure as Code using Terraform and/or CloudFormation.
Handson experience building and maintaining CI/CD pipelines for data platforms.

Exposure to containerized workloads (Docker, ECS/EKS where applicable to data workloads).
Collaboration & Ownershipl. Strong ownership mindset for solution quality, performance, and production stabilit. Excellent communication skills to collaborate with architects, DevOps, QA, and business stakeholders.

Data Platform Design & Development
Design and implement AWSbased data engineering solutions aligned to enterprise standards.
Build and optimize batch and streaming data pipelines using AWS native and opensource tools.
Develop SQLdriven transformations and Pythonbased data pipelines for analytics use cases.
Design efficient data models for performance, scalability, and cost effectiveness.

Delivery & Quality Ownership
Own data engineering deliverables from development through production support.

Perform performance tuning, cost optimization, and capacity planning. Troubleshoot complex data pipeline and production issues, including rootcause analysis.

Ensure solutions meet requirements for security, reliability, and scalability

Collaboration & Client Engagement

Work closely with architects, product owners, and client stakeholders.

Translate business and analytics requirements into robust AWS data engineering solutions. Provide clear technical inputs, estimates, and implementation tradeoffs. Contribute to solution discussions and technical design reviews

Engineering Best Practices

Follow and contribute to coding standards, documentation, and data engineering best practices. Participate in code reviews and continuous improvement initiatives. Ensure adherence to AWS, security, and compliance guidelines

Please share me your updated CV on [email protected]

📌 Walk-in || Data Engineer (Pune)
🏢 AMS
📍 Pune