Senior Technical Lead

Experience: 10 to Not Available years

Location: Gautam Buddha Nagar, India

Skills: Azure Synapse Analytics, Azure Databricks, Scala, ADLS, SQL Hyperscale, Datawarehouse, ADF

Job Summary
To be responsible for managing technology in complex projects, providing technical guidance and ensuring successful delivery of solutions.

Key Responsibilities
1. To be responsible for providing technical guidance to a team of developers, enhancing their technical capabilities and increasing productivity.
2. To conduct comprehensive code reviews, establish and oversee quality assurance processes, performance optimization, implementation of best practices and coding standards to ensure successful delivery of complex projects.
3. To ensure process compliance in the assigned module and participate in technical discussions/review as a technical consultant for feasibility study (technical alternatives, best packages, supporting architecture best practices, technical risks, breakdown into components, estimations).
4. To collaborate with stakeholders to define project scope, objectives, deliverables and accordingly prepare and submit status reports for minimizing exposure & closure of escalations.

Skill Requirements
CU L4
Demand ID
Role: Sr Data Engineer
Location: Pan India
Band: E2.2
Project: C266426 / BI_SMSG_BSO_FY24




CU L4 ERS CU-DE-Data (HDU)-Data Engineering
Positions: 1
BSD: 1st April 2026
Sell Rate: $ 100 Varun, pls confirm on this if any change
RM: 40107043
Primary Skill Area: Synapse, Databricks, ADLS.
Secondary Skills: SQL Hyperscale, Datawarehouse, ADF
Skillset/JD: We are seeking a highly experienced Azure Data Engineering Lead with 10+ years of experience in enterprise data warehousing and big data platforms. The ideal candidate must have strong hands-on expertise in Azure Synapse Analytics, Azure Databricks (Scala), ADLS, SQL Hyperscale, and up-to-date cloud-based data architecture.
The role requires designing scalable data platforms, optimizing large-scale data workloads, and leading cloud data transformation initiatives.

Key Responsibilities
Design and implement enterprise-scale data warehouse and lakehouse architectures
Develop and optimize big data processing using Azure Databricks (Scala)
Build and manage solutions using Azure Synapse Analytics (Dedicated & Serverless SQL Pools)
Implement high-performance solutions using Azure SQL Hyperscale
Design data storage strategies using Azure Data Lake Storage (ADLS Gen2)
Develop advanced SQL queries and performance tuning strategies
Lead migration of on-prem data warehouse to Azure cloud
Other Requirements: null

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