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Urgent! AWS Data Engineer - Python/SQL Job Opening In India, India – Now Hiring Digihelic Solutions Private Limited
<p><p><b>Job Title : </b> AWS Data Engineer Oil & Gas Domain<br/><br/><b>Location : </b> Offshore/ REMOTE<br/><br/><b>Experience : </b> 5+ years<br/><br/>Experienced AWS Data Engineer with Oil & Gas industry expertise to design, build, and optimize scalable data pipelines and cloud solutions.<br/><br/>The ideal candidate will have strong experience in AWS cloud services, data engineering and knowledge of Oil & Gas upstream, midstream or downstream processes to support advanced analytics, reporting, and digital transformation initiatives.<br/><br/><b>Key Responsibilities : </b><br/><br/>- Design, develop, and maintain scalable data pipelines and ETL/ELT solutions using AWS cloud services.<br/><br/>- Ingest, process, and store structured/unstructured data from multiple sources (IoT devices, sensors, ERP systems, drilling logs, production data, etc.<br/><br/>- Implement data lake and data warehouse solutions.<br/><br/>- Optimize data pipelines for performance, cost and scalability.<br/><br/>- Collaborate with domain experts, data scientists and business analysts to translate Oil & Gas business requirements into data solutions.<br/><br/>- Ensure data governance, data quality and security compliance.<br/><br/>- Support real-time data streaming and analytics using AWS services (Kinesis, Kafka, Lambda).<br/><br/>- Document technical solutions and provide knowledge transfer to the team.<br/><br/><b>Proficiency in AWS services : </b><br/><br/>- S3, Redshift, Glue, Athena, EMR, Lake Formation.<br/><br/>- Lambda, Kinesis, Step Functions, CloudWatch, RDS, DynamoDB (optional).<br/><br/>- Expertise in ETL/ELT development using PySpark, Python, or SQL.<br/><br/>- Experience with data modeling, warehousing, and performance tuning.<br/><br/>- Knowledge of data lake and modern data architecture.<br/><br/>- Strong SQL skills and ability to work with large datasets.<br/><br/>- Hands-on with CI/CD and DevOps practices for data solutions.<br/><br/>- Familiarity with Oil & Gas industry datasets and use cases (production, drilling, exploration, sensor/IoT data).<br/><br/><b>Candidate will also be judged in following skills : </b><br/><br/>- Understanding of data ingestion pattern.<br/><br/>- Extensive knowledge of data bricks & Azure Data Factory.<br/><br/>- SQL Knowledge.<br/><br/>- Incremental & Append data load.</p><br/></p> (ref:hirist.tech)
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Unlock Your AWS Data Potential: Insight & Career Growth Guide
Real-time AWS 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 AWS 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 161609 jobs in India and 11212 jobs in India. This comprehensive analysis highlights market share and opportunities for professionals in AWS Data roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Digihelic Solutions Private Limited is currently hiring and seeking a AWS Data Engineer Python/SQL 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 Digihelic Solutions Private Limited adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a AWS Data Engineer Python/SQL 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 AWS Data Engineer Python/SQL 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 AWS Data Engineer Python/SQL interview at Digihelic Solutions Private Limited, 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 Digihelic Solutions Private Limited's products or services and be prepared to discuss how you can contribute to their success.
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