Sr Technical Lead - AWS Cloud Engineering

Winwire Technologies; Hyderabad; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

Winwire Technologies is looking for a Sr Technical Lead for AWS Cloud Engineering in Hyderabad/Bangalore. The ideal candidate should have over 10 years of experience in data engineering, with strong hands-on expertise in Databricks, Azure ADLS, and AWS Glue. The role involves designing scalable data platforms, implementing data governance, and mentoring team members. Candidates should be proficient in PySpark and have a solid understanding of Delta Lake architecture. This position offers an opportunity to lead technically challenging projects in a fast-paced environment.

Qualifications

• 10+ years of experience in Data Engineering / Big Data / Cloud Data Platforms.
• 5+ years of hands-on experience with Databricks.
• Strong expertise in PySpark / Scala.
• Experience with Delta Lake and Lakehouse Architecture.

Responsibilities

• Lead design and development of scalable data platforms and pipelines.
• Architect Lakehouse solutions using Databricks, Delta Lake, and Medallion architecture.
• Build and optimize Spark-based ETL/ELT pipelines.

Skills

AWS

Databricks

Azure

AWS Glue

Pyspark

S3

ADLS Gen2

Job description

Sr Technical Lead – AWS Cloud Engineering

Location – Hyderabad/Bangalore

Job Description

• 10+ years of experience in Data Engineering / Big Data / Cloud Data Platforms
• 5+ years of hands‑on experience with Databricks
• Strong expertise in PySpark / Scala
• Experience with Delta Lake and Lakehouse Architecture
• 5+ years of experience with Azure ADLS Gen2
• RBAC, ACLs, hierarchical namespace
• 4+ years of experience in AWS Glue
• Glue ETL Jobs, Workflows, Crawlers, Glue Data Catalog
• 3+ years of experience designing data ingestion and transformation pipelines using Spark-based frameworks
• Lead design and development of scalable data platforms and pipelines
• Architect Lakehouse solutions using Databricks, Delta Lake, and Medallion architecture
• Build and optimize Spark-based ETL/ELT pipelines using PySpark/Scala and AWS Glue
• Integrate and manage data across ADLS Gen2 and S3 with proper governance and security
• Ensure data quality, performance tuning, and cost optimization
• Implement IAM, RBAC, and access control for secure data operations
• Establish coding standards, conduct code reviews, and mentor team members
• Collaborate with stakeholders to translate business requirements into technical solutions
• Work with DevOps teams to enable CI/CD and smooth deployments

Key Skills

AWS, Databricks, Azure, AWS Glue, Pyspark, S3, ADLsGen2, Lamda.