Urgent! Data Engineer - PySpark/Azure Databricks Job Opening In Pune – Now Hiring SpeedMart
<p><p><b>Company Profile :</b></p><p><br/></p><p>Our client is a global IT services company that helps businesses with digital transformation with offices in India and the United States.<br/><br/>It helps businesses with digital transformation, provide IT collaborations and uses technology, innovation, and enterprise to have a positive impact on the world of business.<br/><br/>With expertise is in the fields of Data, IoT, AI, Cloud Infrastructure and SAP, it helps accelerate digital transformation through key practice areas IT staffing on demand, innovation and growth by focusing on cost and problem solving.<br/><br/><b>Job Profile :</b> Data Engineer.<br/><br/><b>Location :</b> Pune.<br/><br/><b>Employment Type :</b> Full-time, WFO, Regular shift.<br/><br/><b>Preferred experience :</b> 6+ years.<br/><br/><b>The Role :</b></p><p><br/></p><p>Responsible for day-to-day tasks related to data engineering, data modeling, ETL (Extract Transform Load), data warehousing, and data analytics.<br/><br/>Work with AWS and Databricks to design, develop, and maintain data pipelines and data platforms.<br/><br/>Build operational and automated dashboards, reports with help of Power BI and other reporting tools.<br/><br/><b>Responsibilities :</b><br/><br/>- Work extensively on Databricks and its modules using PySpark for data processing.<br/><br/>- Designs, Develops, and optimize scalable ETL pipelines using the Databricks platform and cloud services to transform raw data into actionable insights.<br/><br/>- Designing and implementing data storage solutions on AWS.<br/><br/>- Develop and maintain data models and schemas optimized for specific use cases.<br/><br/>- Building and maintaining data pipelines for data integration and processing.<br/><br/>- Optimizing data processing performance through tuning and monitoring.<br/><br/>- Developing and maintaining data models and schemas.<br/><br/>- Ensuring data security and privacy prerequisites are followed.<br/><br/>- Designing and developing BI reports and dashboards.<br/><br/>- Develop operational and functional reports.<br/><br/>- Build automated reports and dashboards with the help of Power BI and other reporting tools.<br/><br/>- Understand business requirements to set functional specifications for reporting applications.<br/><br/><b>Must Have Qualifications :</b><br/><br/>- 6+ years of proven experience in data engineering roles.<br/><br/>- Strong expertise in Databricks and PySpark for building scalable data solutions.<br/><br/>- Advanced proficiency in SQL (optimizations, complex transformations, performance tuning).<br/><br/>- Solid hands-on experience with AWS cloud data stack (S3, Glue, Lambda, Redshift, Step Functions, EMR, etc.)<br/><br/>- Strong understanding of data modeling, warehousing, and ETL/ELT best practices.<br/><br/>- Pharma/healthcare domain knowledge ability to work with clinical, commercial, and regulatory datasets.<br/><br/>- Experience with data governance, security, and compliance in a regulated industry.<br/><br/><b>Preferred Qualifications :</b><br/><br/>- Excellent communication, problem-solving, and leadership skills.</p><br/></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 676350 jobs in India and 15750 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! SpeedMart is currently hiring and seeking a Data Engineer PySpark/Azure Databricks 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 SpeedMart adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Data Engineer PySpark/Azure Databricks 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 PySpark/Azure Databricks 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 PySpark/Azure Databricks interview at SpeedMart, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the SpeedMart's products or services and be prepared to discuss how you can contribute to their success.
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