Urgent! Data Engineer - ETL/PySpark Job Opening In Pune – Now Hiring Confidential
<p></p><p><b>Description :</b><br/><br/></p><p>Experience : 6 to 10 Years<br/><br/>Location : Any Xebia Location (Bangalore, Chennai, Pune, Bhopal, Hyderabad, Jaipur, Gurgaon)<br/><br/>Contract Type : TPC 6 Months (Extendable)<br/><br/>Interview Platform : Flow Career (Ensure weekend availability for interviews)<br/><br/><b>About the Role :</b><br/><br/></p><p>We are seeking an experienced Data Engineer with deep expertise in Databricks, Python, SQL, and Postgres.
The ideal candidate will have practical experience working with Vector Databases (pgvector, Qdrant, Pinecone, etc.) and exposure to Generative AI use cases such as Retrieval-Augmented Generation (RAG) pipelines and embedding-based search.<br/><br/>You will collaborate with cross-functional teams to design, build, and optimize scalable data pipelines and contribute to innovative AI-driven data solutions on Azure.<br/><br/><b>Key Responsibilities :</b><br/><br/></p><p>- Design and develop robust ETL/ELT pipelines using Databricks, PySpark, and Azure Data Factory.<br/><br/>- Implement scalable data processing workflows integrating Delta Lake and Azure Data Lake Storage Gen2.<br/><br/>- Build, optimize, and maintain Postgres databases (schema design, indexing, performance tuning).<br/><br/>- Develop and manage RAG pipelines and vector search capabilities using pgvector, Qdrant, or Pinecone.<br/><br/>- Work on embedding generation and integration with Azure OpenAI or equivalent Generative AI services.<br/><br/>- Write and optimize complex SQL queries for analytics and data modeling.<br/><br/>- Automate deployments and manage version control using CI/CD and Git-based workflows.<br/><br/>- Collaborate with data scientists, ML engineers, and business teams to deliver high-quality data products.<br/><br/><b>Required Skills :</b><br/><br/></p><p>- Python (PySpark, pandas, API integration)<br/><br/>- Databricks (notebooks, Delta Lake, workflows)<br/><br/>- SQL (data modeling, optimization, analytics)<br/><br/>- Postgres (schema design, indexing, query tuning)<br/><br/>- Azure Services Data Factory, Data Lake Storage Gen2, Synapse Analytics<br/><br/>- Vector Databases pgvector, Qdrant, Pinecone (any)<br/><br/>- Generative AI Exposure RAG pipelines, embeddings, integration with Azure OpenAI<br/><br/>- Version Control & DevOps Git, CI/CD pipelines<br/><br/><b>Additional Information :</b><br/><br/></p><p>- Immediate joiners preferred.<br/><br/>- Interviews will be conducted via Flow Career please ensure weekend availability for interviews.</p><br/><p></p> (ref:hirist.tech)
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Unlock Your Data Engineer Potential: Insight & Career Growth Guide
Real-time Data Engineer Jobs Trends in Pune, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Data Engineer in Pune, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 677832 jobs in India and 19168 jobs in Pune. This comprehensive analysis highlights market share and opportunities for professionals in Data Engineer roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Confidential is currently hiring and seeking a Data Engineer ETL/PySpark to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Confidential adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Data Engineer ETL/PySpark Jobs India varies, but the pay scale is rated "Standard" in Pune. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Data Engineer ETL/PySpark typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Data Engineer ETL/PySpark interview at Confidential, research the company, understand the job requirements, and practice common interview questions.
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