Urgent! Senior Data Engineer - Python/SQL/ETL Job Opening In Hyderabad – Now Hiring Scoop Technologies Pvt Ltd
<p><p><b>Job Title</b> : Senior Data Engineer<br/><br/><b>Experience</b> : 5 to 7 Years<br/><br/><b>Location</b> : Hyderabad <br/><br/><b>Key Responsibilities</b> : <br/><br/>- Design, develop, and maintain robust data pipelines using AWS Glue, PySpark, and Python.<br/><br/>- Build scalable and efficient ETL/ELT workflows and manage metadata using Glue Data Catalog.<br/><br/>- Optimize data models, partitioning strategies, and query performance for large-scale data lakes.<br/><br/>- Implement and maintain cloud-native data solutions using AWS services like S3, Lambda, Aurora PostgreSQL, RDS, IAM, and EC2.<br/><br/>- Develop infrastructure as code using Terraform for reproducible, scalable infrastructure.<br/><br/>- Collaborate with cross-functional teams in an agile environment to deliver high-quality data products.<br/><br/>- Work with modern data lake frameworks including AWS Data Lake, Apache Iceberg, and Lake Formation.<br/><br/>- Ensure data governance, security, and performance tuning across data systems.<br/><br/>- Support CI/CD and DevOps best practices for deploying data solutions.<br/><br/><b>Required Skills & Qualifications : </b><br/><br/>- Bachelors degree in Computer Science, Engineering, or a related field.<br/><br/>- 5 to 7 years of experience in Data Engineering or related roles.<br/><br/>- Deep expertise in AWS cloud ecosystem, especially Glue, S3, Lambda, EC2, Aurora PostgreSQL, RDS, and IAM.<br/><br/>- Proficient in Python and PySpark for large-scale data processing.<br/><br/>- Strong understanding of SQL, data modelling, and performance optimization techniques.<br/><br/>- Hands-on experience with Terraform and infrastructure automation.<br/><br/>- Experience with AWS Data Lake, Lake Formation, and Apache Iceberg.<br/><br/>- Good understanding of DevOps principles and experience with CI/CD pipelines.<br/><br/>- Excellent problem-solving skills and ability to work in fast-paced, agile environments.<br/><br/>- Strong verbal and written communication skills.<br/><br/><b>Good to Have : </b><br/><br/>- AWS certification (e.g., AWS Certified Data Analytics, Solutions Architect).<br/><br/>- Experience with data quality frameworks or monitoring tools.<br/><br/>- Exposure to streaming data tools like Kinesis or Kafka.</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 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 Senior Data 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 474286 jobs in India and 16416 jobs in Hyderabad. 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! Scoop Technologies Pvt Ltd is currently hiring and seeking a Senior Data Engineer Python/SQL/ETL to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Senior Data Engineer Python/SQL/ETL Jobs Hyderabad.
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 Scoop Technologies Pvt Ltd adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Senior Data Engineer Python/SQL/ETL 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.
Key qualifications for Senior Data Engineer Python/SQL/ETL 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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