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Senior Data Engineer - SQL / ETL / Python

Senior Data Engineer - SQL / ETL / Python

Talent CornerIndia
24 days ago
Job description

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.
  • (ref : hirist.tech)

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