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Open nowPosted 430 days ago

Senior Data Engineer_Mastek

Codersbrain

Where
Bengaluru, Bangalore, India
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Your applicationOpen nowSenior Data Engineer_MastekCodersbrain · Bengaluru, Bangalore, India

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Share of postings closed within
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  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 430 days ago

The posting

Senior Data Engineer

## Company Overview (Company information not specified.)

## Job Summary The Senior Data Engineer will play a critical role in assembling, optimizing, and delivering large complex data sets for the Finance Data Warehouse, meeting both functional and non-functional business requirements. This position will contribute significantly to the organization's goals by ensuring efficient data integration, modeling, and orchestration, while also guiding the team towards continuous improvement and innovation.

## Responsibilities - Coordinate with multiple data source teams to publish data to the Finance Data Warehouse. - Work with stakeholders, including data, design, product, and executive teams, to assist with data-related and technical issues. - Build scalable data pipelines to generate training datasets for machine learning deliverables. - Mentor junior resources and drive the end-to-end design, implementation, and delivery of engineering components. - Strive for continuous improvement of code quality and development practices. - Anticipate system/application challenges and propose effective solutions.

## Qualifications - BS in Computer Science or a related field. - 5+ years of data engineering experience. - Strong understanding of modern data platforms, including data lakes and data warehouses, with particular knowledge in Snowflake architecture. - Proven experience in assembling large complex data sets that meet business requirements. - Experience with integration, modeling, and orchestration of complex finance data while optimizing processes. - Proficient in scripting, data science, and analytics using SQL, Python, PowerShell, and JavaScript. - Skilled in performance tuning, optimization, and troubleshooting in ambiguous environments. - Proficient in working with cloud-based systems, preferably Azure.

## Preferred Skills - Experience with cloud-based systems, specifically Azure and Snowflake data warehouses. - Expertise in designing data table structures, reports, and queries. - Knowledge of Continuous Integration/Continuous Deployment (CI/CD). - Experience in building data integrity checks as part of application delivery. - Familiarity with Kafka technologies. - Experience with real-time analytics and messaging. - Working knowledge of Microservices is desirable. - MS in Computer Science or a related technical degree is preferred. - Experience with large volume data, particularly in retail.

## Experience - A minimum of 5 years of relevant experience in data engineering.

## Environment - (Work setting, location, and physical conditions not specified.)

## Salary - (Salary range not specified.)

## Growth Opportunities - (Potential career advancement opportunities not specified.)

## Benefits - (Offered benefits not specified.)

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