Lead Data Engineer

1 day ago

bangalore, India Talent Corner HR Services Pvt Ltd Full time

Job Description: Senior Data Engineer Lead

Location: Remote (India)

Experience Level: 8–12 years

Employment Type: Full-time



About the Role

We are looking for a highly skilled Senior Data Engineer Lead who can take ownership of end-to-end data initiatives— from ingestion and transformation to advanced analytics and AI-driven solutions.

This role requires someone who can balance leadership and hands-on development, ensuring timely delivery of high-quality solutions while guiding and mentoring team members. You will work closely with stakeholders to understand requirements, design scalable data systems, and deliver actionable insights and AI-powered capabilities.



Key Responsibilities

  • Own delivery of data projects from design to deployment, ensuring timelines and quality standards are met.
  • Design and implement robust data ingestion pipelines from multiple structured and unstructured sources.
  • Build and optimize data warehouses, data lakes, and ETL/ELT pipelines for scalability and performance.
  • Collaborate with cross-functional stakeholders to translate requirements into data models, pipelines, and analytics solutions.
  • Contribute hands-on as a developer while guiding and mentoring other engineers/scientists.
  • Work on GenAI-driven solutions, integrating LLMs and AI agents into data products.
  • Ensure best practices for data governance, quality, security, and performance tuning.
  • Drive continuous improvement in architecture, automation, and DevOps practices for data systems.



Qualifications & Skills

  • 8–12 years of experience in Data Engineering / Advanced Analytics, with proven leadership experience.
  • Strong expertise in:
  • Data Engineering: SQL, Python, Spark, Databricks (or similar), ETL/ELT frameworks, data modeling.
  • Data Warehousing & Cloud: Azure / AWS / GCP, Delta Lake, BigQuery, Redshift, or Snowflake.
  • Data Pipelines: Airflow, Fivetran, Kafka, or equivalent tools.
  • Exposure to Machine Learning / GenAI solutions (LLMs, embeddings, AI agents, vector databases).
  • Familiarity with MLOps practices for integrating models into production pipelines.
  • Strong knowledge of data governance, performance optimization, and cost efficiency in cloud environments.
  • Proven ability to lead deliveries while remaining hands-on in development.
  • Excellent problem-solving, communication, and stakeholder management skills.



What We Offer

  • 100% Remote Opportunity
  • Lead impactful, cutting-edge data and AI initiatives.
  • Hands-on exposure to GenAI, LLMs, and advanced data platforms.
  • A collaborative environment that encourages innovation and ownership.
  • Career growth with leadership responsibilities while remaining technically hands-on.

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