CHENNAI · FULLTIME
Lead Data Engineer
Synergy Group
Chennai · onsite · Posted 5d ago
Sourced from
Undisclosed8–13 yrsfulltimeChennai
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Section · 01
About this role
Lead Data Engineer
About the Role
Key Responsibilities
Required Skills Experience
Preferred Qualifications
Soft Skills
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Location: Chennai | Department: Data Engineering / Data Platform | Reports To: Data Engineering Manager
About the Role
We are lookingfor an experienced Lead Data Engineer to drive the design, development, andmanagement of our data infrastructure while leading a team of 4 engineers. Thisrole combines strong hands-on technical expertise with people management anddelivery ownership and requires someone comfortable using modern AI-assisted("vibe coding") tools to rapidly build and ship data products, whilemaintaining the infrastructure that powers them.
Key Responsibilities
Technical Leadership Development
Architect, build, and optimizescalable data pipelines using Databricks, PySpark, and Python
Write and review complex SQLqueries for data transformation, validation, and performance tuning
Design and maintain data modelsand ETL/ELT workflows across Databricks environments
Support or lead development ofML models/pipelines for data products (feature engineering, model training,deployment, and monitoring)
Build data product applicationsusing AI-assisted "vibe coding" tools (Claude Code, Cursor, orsimilar) to rapidly prototype, develop, and ship internal tools, dashboards,and data-driven applications
Establish and enforce bestpractices for code quality, version control, and CI/CD using Git
Champion the adoption ofAI-assisted development tools across the team to improve developer velocity,code review efficiency, and documentation
Conduct code reviews,architecture reviews, and technical design sessions
Infrastructure PlatformOwnership
Own and maintain theinfrastructure underlying data products compute clusters, transactionaldatabases, job orchestration, environments, deployment pipelines, andmonitoring
Ensure data pipelinereliability, observability, and cost optimization across Databricks
Manage access controls,environment configuration, and platform scaling for data product apps
Troubleshoot infrastructureissues end-to-end (compute, storage, networking, connectivity)
Team People Management
Lead, mentor, and grow a teamof 4 engineers, providing technical guidance and career development support
Conduct 1:1s, performancereviews, and skill-development planning for team members
Foster a culture of continuouslearning and rapid upskilling in response to evolving tech/business needs
Encourage and enable the teamto adopt new tools and frameworks quickly
Delivery Process Management
Own sprint planning, backloggrooming, and sprint retrospectives for the team (Agile/Scrum)
Break down businessrequirements into well-scoped technical tasks and user stories
Track sprint velocity, manageblockers, and ensure timely delivery of data engineering initiatives
Coordinate withcross-functional stakeholders (analytics, product, business teams) to alignpriorities
Required Skills Experience
8+ years of experience in dataengineering, with at least 2+ years in a technical leadership or team lead role
Strong hands-on expertise inDatabricks (notebooks, clusters, job orchestration, Delta Lake)
Proficiency in PySpark andPython for large-scale data processing
Advanced SQL skills (queryoptimization, stored procedures, performance tuning)
Experience with Microsoft SQLServer (T-SQL, database design, troubleshooting)
Experience with OCR data extraction(Azure Document Intelligence, AWS Textract)
Solid understanding of Gitworkflows (branching strategies, PR reviews, merge conflict resolution)
Hands-on experience buildingapplications using AI coding tools / vibe coding (Claude Code, Cursor, GitHubCopilot, or similar)
Experience maintaining andtroubleshooting infrastructure supporting data products (compute,orchestration, deployment)
Working knowledge of MachineLearning concepts and lifecycle (model training, deployment, monitoring)
Proven experience running Agilesprint planning, backlog management, and team ceremonies
Experience managing andmentoring a small engineering team (3-5 members)
Demonstrated ability to quicklylearn and adopt new technologies in response to business needs
Preferred Qualifications
Experience with cloud platforms(Azure preferred, Databricks stack)
Familiarity with CI/CDpipelines (Azure DevOps, GitHub Actions, etc.)
Experience with data governanceframeworks and data quality tools
Bachelor's/Master's degree inComputer Science, Engineering, or related field
Soft Skills
Strong communication skills tobridge technical and non-technical stakeholders
Ability to balance hands-oncoding with people management responsibilities
High adaptability comfortablenavigating ambiguity and fast-changing tech/business priorities
Problem-solving mindset with afocus on scalable, maintainable solutions
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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Section · 02
Skills
data extractionAzure DevopsAgileData EngineerCode Reviewclaudecloud platformscode qualityadvanced sqlamazon web servicesClaude CodecopilotcursorAnalyticsData EngineeringcloudCommunication SkillsArchitectureMicrosoft AzureArtificial Intelligence
Section · Company
About Synergy Group
Synergy Group
Engineering & Construction
11-50
employees
Vadodara
India
₹7.1L PA avg
Avg at Synergy Group
About
Synergy Group delivers heavy engineering solutions and automation services, optimizing processes in industries such as cement, steel, and mining.
Industries
Advertising / PR / Events
Employee ratings
10 reviews
4.1/ 5
Culture
3.6
Career growth
3.3
Work-life
3.2
Employees rate it well for
Overall Company41Company Culture38
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