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Urgent! Data Engineering Lead - Snowflake DB Job Opening In Delhi Division – Now Hiring SMARTWORK IT SERVICES
<p><p><b>Position : </b> Data Engineering Lead<br/><br/><b>Experience : </b> 915 Years<br/><br/><b>Location : </b> PAN India<br/><br/><b>Job Summary : </b><br/><br/></p><p>We are seeking a highly skilled and experienced Data Engineering Lead with 9 to 15 years of hands-on expertise in AWS and Snowflake.
The ideal candidate will be a solution-oriented professional capable of designing, developing, and delivering scalable data engineering solutions.
This role requires deep knowledge of end-to-end data architectures, layered data processing frameworks, and a strong ability to optimize data pipelines, with a preference for candidates with experience in the telecommunications industry.<br/><br/><b>Key Responsibilities : </b><br/><br/></p><p>- Design, develop, and maintain scalable data architectures and robust pipelines for large-scale data platforms.<br/><br/></p><p>- Build and optimize data lakes to unify both structured and unstructured data sources, ensuring accessibility and performance.<br/><br/></p><p>- Implement real-time and batch data processing using advanced Snowflake features like Streams, Tasks, and Snowpipe.<br/><br/></p><p>- Utilize a wide range of AWS services including EC2, Glue, Lambda, S3, Athena, and MWAA for efficient data integration, processing, and analytics.<br/><br/></p><p>- Develop and manage PySpark and Python-based workflows for scalable transformations and automation.<br/><br/></p><p>- Perform complex data modeling, performance tuning, and optimization within the Snowflake environment.<br/><br/></p><p>- Collaborate with cross-functional teams to deliver end-to-end data engineering solutions aligned with critical business goals.<br/><br/><b>Required Skills & Qualifications : </b><br/><br/></p><p>- 915 years of professional experience in data engineering or a related field.<br/><br/></p><p>- Strong expertise in AWS and Snowflake.<br/><br/></p><p>- Proven proficiency in AWS Glue.<br/><br/></p><p>- Hands-on experience with PySpark for data processing.<br/><br/></p><p>- Experience in designing and delivering scalable data engineering solutions.</p><br/></p> (ref:hirist.tech)
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Unlock Your Data Engineering Potential: Insight & Career Growth Guide
Real-time Data Engineering Jobs Trends in Delhi Division, 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 Engineering in Delhi Division, 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 174081 jobs in India and 6091 jobs in Delhi Division. This comprehensive analysis highlights market share and opportunities for professionals in Data Engineering roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! SMARTWORK IT SERVICES is currently hiring and seeking a Data Engineering Lead Snowflake DB 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 SMARTWORK IT SERVICES adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Data Engineering Lead Snowflake DB Jobs India varies, but the pay scale is rated "Standard" in Delhi Division. 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 Engineering Lead Snowflake DB 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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