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Data Engineer at Principal Financial Services, Inc.

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

08 Mar, 26

Salary

0.0

Posted On

08 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Power BI, Business Objects, Webfocus, SQL, ETL Tools, Scheduling Tools, Data Modeling, Data Warehousing, Agile, Scrum, Cloud Platforms, Python, Version Control, CI/CD Pipelines, Data Visualization, Data Governance, Data Security

Industry

Financial Services

Description

Responsibilities Role Overview We are looking for a Data Engineer with 2+ years of experience in data engineering and analysis tasks to meet business requirements and maximize effectiveness. The candidate should understand technical aspects of data management, including creating, collecting, loading, transforming, cleansing, processing, storing, analyzing, and visualizing data into valuable business insights while ensuring data quality, reliability, and accessibility. Key Responsibilities Design, develop, and maintain scalable data pipelines and ETL processes Implement data quality checks and monitoring systems Create and maintain documentation for data processes and architecture Troubleshoot data-related issues and implement solutions Must-Have Skills Strong proficiency in Power BI, Business Objects, Webfocus, SQL Knowledge of ETL tools and frameworks Knowledge of scheduling tools Knowledge of data modeling Experience with data warehousing concepts Experience building data products incrementally and integrating and managing datasets from multiple sources Agile/Scrum methodology experience Good to Have Knowledge of cloud platforms (AWS, Snowflake) Knowledge of Python programming language Knowledge of Version control systems (Git) Understanding of CI/CD pipelines (GitHub Actions) Familiarity with data visualization tools (Power BI) Familiarity with data governance and security protocols Soft Skills Strong problem-solving and analytical skills Good communication and collaboration abilities Eagerness to learn new technologies and frameworks Ability to work in a team-oriented environment Qualifications Education: Graduate - Bachelor's degree (any stream)

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Responsibilities

The Data Engineer will design, develop, and maintain scalable data pipelines and ETL processes while implementing data quality checks and monitoring systems. They will also troubleshoot data-related issues and create documentation for data processes and architecture.