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AWS Data Engineer - ETL/Python Job Opening In Bengaluru – Now Hiring Mastech Digital


Job description

<p><p><b>Position : </b> AWS Data Engineer<br/><br/><b>Locations : </b> Chennai, Hyderabad, Bangalore<br/><br/><b>Employment Type : </b> Contract / Full-Time<br/><br/><b>Experience : </b> 5+ years<br/><br/><b>Work Model : </b> Hybrid (3 days per week in office)<br/><br/><b>About the Role : </b><br/><br/>We are seeking an experienced AWS Data Engineer to design, implement, and maintain scalable data solutions on AWS.

The ideal candidate will have strong expertise in serverless AWS services, data modeling, ETL processes, and SQL, with the ability to optimize data pipelines for performance and efficiency.<br/><br/><b>Key Responsibilities : </b><br/><br/>- Design, implement, and maintain data architecture for AWS-based data services.<br/><br/>- Develop and optimize ETL processes to load and transform data efficiently in the data warehouse.<br/><br/>- Write complex SQL queries to support data analysis, reporting, and business intelligence requirements.<br/><br/>- Collaborate with stakeholders to understand business needs and translate them into technical solutions.<br/><br/>- Optimize data models and pipelines for performance, reliability, and scalability.<br/><br/>- Manage and maintain AWS serverless services including Glue, Lambda, DMS, RDS, Redshift, Athena, CloudFormation, and related resources.<br/><br/>- Ensure best practices for data governance, security, and compliance.<br/><br/>- Troubleshoot, monitor, and resolve data-related issues proactively.<br/><br/><b>Required Skills & Experience : </b><br/><br/>- 5+ years of hands-on experience as a Data Engineer, with strong expertise in AWS.<br/><br/>- Proficient in Python and PySpark for data processing.<br/><br/>- Hands-on experience with AWS services : Glue, Lambda, DMS, RDS, Redshift, Athena, CloudFormation, and other serverless tools.<br/><br/>- Strong SQL skills for querying, reporting, and data analysis.<br/><br/>- Experience in designing and implementing efficient ETL pipelines and data models.<br/><br/>- Ability to work in a hybrid environment and collaborate effectively with cross-functional teams.<br/><br/><b>Preferred Skills : </b><br/><br/>- Experience with performance tuning and optimization of data pipelines.<br/><br/>- Familiarity with data governance, security, and compliance best practices.<br/><br/>- Strong problem-solving skills and attention to detail.<br/></p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


  • Job Details

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Real-time AWS Data Jobs Trends (Graphical Representation)

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The Work Culture

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 Mastech Digital adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in Bengaluru. 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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Key qualifications for AWS Data Engineer ETL/Python typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Mastech Digital interview tips for AWS Data Engineer   ETL/Python

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Before the Interview:

Research: Learn about the Mastech Digital's mission, values, products, and the specific job requirements and get further information about

Other Openings

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To prepare for your AWS Data Engineer ETL/Python interview at Mastech Digital, research the company, understand the job requirements, and practice common interview questions.

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