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EXL - Data Engineer - Python Job Opening In India, India – Now Hiring EXL


Job description

<p><p>We are looking for an experienced Data Engineer to drive the development of scalable, secure, and high-performance data solutions.

This role requires deep technical expertise in Python, Apache Spark, Delta Lake, and orchestration tools like Databricks Workflows or Azure Data Factory.

</p><p><br/></p><p>The ideal candidate will also bring a strong understanding of data governance, metadata management, and regulatory compliance in the insurance and financial services domains.

Proficient in developing Python Applications, Spark-based workflows, leveraging Delta Lake, and orchestrating jobs using Databricks Workflows or Azure Data Factory.

</p><p><br/></p><p>Good to understand retention metadata, business rules, and data governance policies into reusable pipelines.

Strong understanding of data privacy, security, and regulatory needs in insurance and financial domains.<br/><br/><b>Key Responsibilities : </b><br/><br/></p><p>- Develop robust data pipelines and ETL workflows using Python and Apache Spark.

<br/><br/></p><p>- Orchestrate complex workflows using Databricks Workflows or Azure Data Factory.

<br/><br/></p><p>- Translate business rules, retention metadata, and data governance policies into reusable, modular, and scalable pipeline components.

<br/><br/></p><p>- Ensure adherence to data privacy, security, and compliance standards (e.g., GDPR, HIPAA, etc.).

<br/><br/></p><p>- Collaborate with cross-functional teams including data architects, analysts, and business stakeholders to align data solutions with business goals.<br/><br/><b>Required Skills & Qualifications : </b><br/><br/></p><p>- 4 to 7 years of experience in data engineering <br/><br/></p><p>- Expert-level proficiency in Python, Apache Spark, and Delta Lake.

<br/><br/></p><p>- Strong experience with Databricks Workflows and/or Azure Data Factory.

<br/><br/></p><p>- Deep understanding of data governance, metadata management, and business rule integration.

<br/><br/></p><p>- Strong communication skills.

<br/><br/></p><p>- Experience with cloud platforms such as Azure.

<br/><br/><b>Preferred Qualifications : </b><br/><br/></p><p>- Experience with CI/CD pipelines and DevOps practices in data engineering.

<br/><br/></p><p>- Familiarity with data cataloging and data quality tools.

<br/><br/></p><p>- Certifications in Azure Data Engineering or related technologies.

<br/><br/></p><p>- Exposure to enterprise data architecture and modern data stack tools.</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your EXL Data Potential: Insight & Career Growth Guide


Real-time EXL Data Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for EXL Data in India, India, highlighting market share and opportunities for professionals in EXL Data roles.

147690 Jobs in India
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Are You Looking for EXL Data Engineer Python Job?

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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 EXL 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 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.

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Key qualifications for EXL Data Engineer 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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Interview Tips for EXL Data Engineer Python Job Success

EXL interview tips for EXL   Data Engineer   Python

Here are some tips to help you prepare for and ace your EXL Data Engineer Python job interview:

Before the Interview:

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

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

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Be Punctual: Arrive on time to demonstrate professionalism and respect.

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Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

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Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Be Yourself: Let your personality shine through while maintaining professionalism.

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Final Thought:

To prepare for your EXL Data Engineer Python interview at EXL, 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 EXL'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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