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HCLTech

Senior Technical Lead

Pune · Senior

Good timing - competition is buildingVerified listingPosted 12d ago

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64Skills
97Experience

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Skills required

10 listed
Data-Driven Decision-MakingMicrosoft AzureData VirtualizationTalendExtract Transform Load (ETL)DatabricksSQL (Programming Language)Python (Programming Language)+2 more
Data-Driven Decision-MakingMicrosoft AzureData VirtualizationTalendExtract Transform Load (ETL)

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Job description

Job Summary

Data Engineer (Talend (QLIK)/Databricks) designs and maintains scalable, reliable data pipelines that transform raw data into analytics‑ready datasets for reporting and decision‑making. The role ensures high data quality, security, and performance across cloud‑based ETL workflows, while collaborating closely with analytics and business teams to enable trusted, data‑driven insights.

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines and ETL processes
  • Implement ETL processes to ingest, transform, and load data from various sources
  • Ensure data quality, security, and compliance
  • Optimize and fine-tune data systems for performance and scalability
  • Develop and document data architecture and processes
  • Collaborate with data scientists and analysts to understand data requirements
  • Work closely with cross-functional teams to support data-driven decision-making
  • Monitor and troubleshoot data pipeline issues
  • Troubleshoot and resolve data-related issues and support users
  • Monitor ETL processes, proactively identifying and resolving issues or performance bottlenecks to maintain high system reliability.
  • Review data transformation and ingestion patterns, including CDC, schema evolution, and error handling for robust data operations.
  • Document ETL workflows, data mappings, and process changes to ensure transparency and clear communication across technical and non-technical teams.
  • Stay updated with the latest features and best practices

Skill Requirements

  • Degree in Computer Science, Data Engineering, Information Technology or a related field
  • A minimum of 5 years of professional experience in data engineering or a related role
  • Proven experience as a Data Engineer with a focus on Databricks / talend
  • Strong programming skills in SQL and Python
  • Experience with cloud computing platforms (preferably Microsoft Azure) 
  • Ideally Experience with data virtualization tools (Denodo or Tableau)
  • Strong problem-solving and analytical skills
  • Proficiency in CDC ingestion patterns (watermarks, change tables, log-based ingestion).
  • Advanced error handling & observability
  • Excellent communication and teamwork abilities
  • A passion for working with data and a desire to continuously learn and improve
  • Excellent English skills. German skills are a bonus
  • Microsoft Azure or Databricks certifications are a plus

Skill Level (SFIA):

  • 4 = Enable: Performs diverse complex activities, supports and guides others, delegates tasks when appropriate, works autonomously under general direction, and contributes expertise to deliver team objectives.

Other Requirements

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Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreFree · sign in
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

Always free · no credit card · 1 tap with Google

Free · no signup

Get tomorrow's jobs before you have to search

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Join WhatsAppJoin Telegram

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Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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