Urgent! Senior Data Engineer - Python/Spark Job Opening In India, India – Now Hiring SUPERSOURCING TECHNOLOGIES PRIVATE LIMITED
<p><p><b>Job Title : Senior Data Engineer Azure & PySpark</b><br/><br/><b>Experience : 6+ Years</b><br/><br/><b>Location : Pune / Bangalore / Hyderabad (Hybrid)</b><br/><br/><b>Employment Type : Full-time</b><br/><br/><b>About the Role : </b><br/><br/>We are looking for an experienced Senior Data Engineer who can design, build, and optimize scalable data pipelines and workflows across the Azure ecosystem.
The ideal candidate will bring strong expertise in Azure data services, PySpark, Airflow, SQL, and Python, with the ability to solve complex data integration challenges and deliver high-performing data solutions.<br/><br/><b>Key Responsibilities : </b><br/><br/>- Design, build, and maintain ETL/ELT pipelines using Azure Data Lake, ADF, Databricks, and PySpark.<br/><br/></p><p>- Develop and orchestrate data workflows using Apache Airflow.<br/><br/></p><p>- Optimize PySpark jobs for performance and scalability across large datasets.<br/><br/></p><p>- Write efficient and complex SQL queries for data validation, transformation, and reporting.<br/><br/></p><p>- Collaborate with data architects, analysts, and business teams to translate requirements into scalable solutions.<br/><br/></p><p>- Implement best practices in data modeling, data governance, and security on Azure.<br/><br/></p><p>- Monitor, troubleshoot, and optimize pipelines for performance and cost efficiency.<br/><br/></p><p>- Mentor junior engineers and contribute to code reviews, design discussions, and technical leadership.<br/><br/><b>Must Have Skills : </b><br/><br/>- 6+ years of professional experience in data engineering.<br/><br/></p><p>- Strong hands-on experience with Azure Data Services (ADF, ADLS, Synapse, Databricks).<br/><br/></p><p>- Proficiency in PySpark for large-scale data processing.<br/><br/></p><p>- Expertise in Apache Airflow for workflow orchestration.<br/><br/></p><p>- Strong programming skills in Python.<br/><br/></p><p>- Advanced knowledge of SQL (complex queries, optimization, performance tuning).<br/><br/><b>Good to Have : </b><br/><br/>- Experience with Azure DevOps / CI-CD pipelines.<br/><br/></p><p>- Knowledge of Delta Lake and data lakehouse architectures.<br/><br/></p><p>- Exposure to Snowflake or other cloud data warehouses.<br/><br/></p><p>- Familiarity with Kubernetes (AKS) for containerized data workloads.<br/><br/><b>Why Join Us?</b><br/><br/>- Opportunity to work on end-to-end Azure cloud data engineering projects.<br/><br/></p><p>- Be part of a high-performance engineering team driving cloud data solutions.<br/><br/></p><p>- Hybrid work flexibility and exposure to modern data stack.<br/><br/></p><p>- Continuous learning culture with opportunities to upskill in cloud-native and big data technologies.<br/></p><br/></p> (ref:hirist.tech)
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Unlock Your Senior Data Potential: Insight & Career Growth Guide
Real-time Senior Data Jobs Trends in India, 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 Senior Data in India, 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 474286 jobs in India and 32631 jobs in India. This comprehensive analysis highlights market share and opportunities for professionals in Senior Data roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! SUPERSOURCING TECHNOLOGIES PRIVATE LIMITED is currently hiring and seeking a Senior Data Engineer Python/Spark 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 SUPERSOURCING TECHNOLOGIES PRIVATE LIMITED adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Senior Data Engineer Python/Spark Jobs India varies, but the pay scale is rated "Standard" in India. 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 Senior Data Engineer Python/Spark 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 Senior Data Engineer Python/Spark interview at SUPERSOURCING TECHNOLOGIES PRIVATE LIMITED, research the company, understand the job requirements, and practice common interview questions.
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