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Senior Data Engineer - SQL/ETL/Python Job Opening In India, India – Now Hiring Confidential


Job description

<p><p><b>Job Description : Senior Data Engineer Lead</b><br/><br/><b>Location : </b> Remote (India)<br/><br/><b>Experience Level : </b> 8- 12 years<br/><br/><b>Employment Type : </b> Full-time</p><br/><p><b>About the Role :</b><br/><br/>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.<br/><br/>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.</p><br/><p><b>Key Responsibilities :</b><br/><br/>- Own delivery of data projects from design to deployment, ensuring timelines and quality standards are met.<br/><br/>- Design and implement robust data ingestion pipelines from multiple structured and unstructured sources.<br/><br/>- Build and optimize data warehouses, data lakes, and ETL/ELT pipelines for scalability and performance.<br/><br/>- Collaborate with cross-functional stakeholders to translate requirements into data models, pipelines, and analytics solutions.<br/><br/>- Contribute hands-on as a developer while guiding and mentoring other engineers/scientists.<br/><br/>- Work on GenAI-driven solutions, integrating LLMs and AI agents into data products.<br/><br/>- Ensure best practices for data governance, quality, security, and performance tuning.<br/><br/>- Drive continuous improvement in architecture, automation, and DevOps practices for data systems.</p><br/><b>Qualifications & Skills :</b><br/><br/>- 8 - 12 years of experience in Data Engineering / Advanced Analytics, with proven leadership experience.<br/><br/>- Strong expertise in :<br/><ul><li>Data Engineering : SQL, Python, Spark, Databricks (or similar), ETL/ELT frameworks, data modeling.</li><li>Data Warehousing & Cloud : Azure / AWS / GCP, Delta Lake, BigQuery, Redshift, or Snowflake.</li><li>Data Pipelines : Airflow, Fivetran, Kafka, or equivalent tools.</li></ul>- Exposure to Machine Learning / GenAI solutions (LLMs, embeddings, AI agents, vector databases).<br/><br/>- Familiarity with MLOps practices for integrating models into production pipelines.<br/><br/>- Strong knowledge of data governance, performance optimization, and cost efficiency in cloud environments.<br/><br/>- Proven ability to lead deliveries while remaining hands-on in development.<br/><br/>- Excellent problem-solving, communication, and stakeholder management skills.<br/><br/><p><p><b>What We Offer :</b></p><br/>- 100% Remote Opportunity <br/><br/>- Lead impactful, cutting-edge data and AI initiatives.<br/><br/>- Hands-on exposure to GenAI, LLMs, and advanced data platforms.<br/><br/>- A collaborative environment that encourages innovation and ownership.<br/><br/>- Career growth with leadership responsibilities while remaining technically hands-on.</p><br/><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


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