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Senior Data Pipeline Engineer Job Opening In Bengaluru – Now Hiring Skedara Technology


Job description

We are seeking an experienced Senior Python Developer who specializes in building and maintaining high-performance ETL and data integration pipelines.

This ideal candidate will be working with data from diverse sources, transforming it efficiently, and ensuring seamless downstream delivery to analytics and reporting systems.

You will work with a global delivery team to design scalable, modular, and automated data workflows using modern tools such as Airflow, Git, and Azure Cloud Services.

Key Responsibilities

· Design, develop, and maintain Python-based ETL pipelines to extract data from multiple sources such as APIs, SFTP, and web services.

· Perform data transformation, cleaning, and validation using Python (especially pandas) for analytics and reporting consumption.

· Maintain and extend existing Python codebases - ensuring modularity, reusability, and consistent coding standards.

· Implement workflow orchestration and scheduling using Apache Airflow, including DAG creation, monitoring, and error handling.

· Collaborate with data engineers, operations, and QA teams to ensure pipeline reliability and scalability.

· Use Git for version control and actively participate in peer code reviews, documentation, and repository management.

· Apply best practices in logging, exception handling, and testing for production-ready code.

Required Skills & Experience

· Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.

· 6–12 years of professional experience in software development with strong Python expertise.

· Minimum 4+ years in ETL / Data Engineering using Python and pandas.

· Solid understanding of API integrations, SFTP data ingestion, and web data extraction.

· Proficiency in modular programming, OOP concepts, and abstraction-based design.

· Experience with Airflow for workflow management - creating, scheduling, and monitoring DAGs.

· Strong understanding of Git-based workflows, branching strategies, and CI/CD collaboration.

Nice to Have Skills

  • Experience with Azure Cloud Services such as Azure Data Factory, Azure Storage, and Azure Key Vault.
  • Familiarity with CI/CD pipelines and DevOps practices.
  • Experience in data automation or data engineering environments.
  • Basic working knowledge of SQL or relational database systems.
  • Exposure to PowerShell scripting or similar automation tools.

Soft Skills

· Strong analytical and problem-solving mindset.

· Excellent attention to detail and focus on clean, maintainable code.

· Good communication and collaboration skills for distributed team environments.

· Self-driven, proactive, and comfortable in fast-paced, dynamic projects.

Required Skill Profession

Computer Occupations


  • Job Details

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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 Skedara Technology 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

What Is the Average Salary Range for Senior Data Pipeline Engineer Positions?

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 Senior Data Pipeline Engineer 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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Interview Tips for Senior Data Pipeline Engineer Job Success

Skedara Technology interview tips for Senior Data Pipeline Engineer

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Before the Interview:

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

Other Openings

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Final Thought:

To prepare for your Senior Data Pipeline Engineer interview at Skedara Technology, 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 Skedara Technology's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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