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Urgent! Data Engineer - Python/Apache Spark Job Opening In Hyderabad – Now Hiring BOHIYAANAM TECHNOLOGY LLP
<p><p><b>Description :</b><br/><br/><b>Key Responsibilities :</b></p><p><p><b><br/></b></p>- Design, develop, and deploy end-to-end data engineering solutions using Databricks, Apache Spark, PySpark, Python, and SQL.<br/><br/>- Build scalable and efficient ETL/ELT pipelines for data ingestion, transformation, and integration from various sources.<br/><br/>- Work with data warehousing solutions and ensure high-performance data processing and storage.<br/><br/>- Engage directly with clients to gather requirements, propose solutions, and manage delivery expectations.<br/><br/>- Collaborate with data scientists, analysts, and other engineers to support ML model deployment, MLOps, and advanced analytics use cases.<br/><br/>- Implement data modeling, data architecture, and adhere to best practices in modern data platform design.<br/><br/>- Utilize CI/CD tools such as GitHub, Azure DevOps, and Pipelines for version control, testing, and production deployment.<br/><br/>- Manage technical project delivery, including scope, timelines, and technical documentation.<br/><br/>- Troubleshoot performance issues and optimize distributed computing processes using Apache Spark.<br/><br/>- Continuously learn and apply new features and tools to enhance existing solutions and architectures.<br/><br/><b>Required Skills & Experience :</b></p><p><p><b><br/></b></p>- 4+ years of experience in data engineering, data platforms, and data analytics.<br/><br/>- 3+ years hands-on experience with Databricks, Apache Spark, PySpark, Python, and SQL.<br/><br/>- Experience working in client-facing roles or consulting environments.<br/><br/>- Strong understanding of data modeling, ETL processes, and cloud data architecture principles.<br/><br/>- Working knowledge of at least two cloud platforms (AWS, Azure, GCP), with deep expertise in one.<br/><br/>- Solid knowledge of Spark runtime internals and distributed computing.<br/><br/>- Experience with CI/CD and deployment pipelines GitHub, Azure DevOps, etc.<br/><br/>- Familiarity with MLOps concepts and production model support.<br/><br/><b>Preferred Qualifications :</b></p><p><p><b><br/></b></p>- Databricks Data Engineer Associate or Professional Certification (preferred or must be willing to obtain).<br/><br/>- Experience with whiteboarding, architecture documentation, and delivering technical presentations.<br/><br/>- Ability to manage technical conflict, communicate effectively, and handle multiple client engagements.</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 Hyderabad, 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 Hyderabad, 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 676344 jobs in India and 23334 jobs in Hyderabad. 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! BOHIYAANAM TECHNOLOGY LLP is currently hiring and seeking a Data Engineer Python/Apache 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 BOHIYAANAM TECHNOLOGY LLP adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Data Engineer Python/Apache Spark Jobs India varies, but the pay scale is rated "Standard" in Hyderabad. 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.
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