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Lead Data Engineer & ML Analyst Job Opening In Dindigul – Now Hiring Eltropy


Job description

Role Overview:

We’re looking for someone with 5+ years of experience in data engineering, analytics, and ML-based solutions.


Job Responsibilities

  • Design and manage scalable ETL/ELT pipelines using AWS Glue, Redshift, S3, and Kafka/Kinesis.

  • Architect and implement data lake and warehouse solutions following best practices.

  • Build and deploy ML models for classification, prediction, and anomaly detection.

  • Automate workflows and orchestration with Airflow or Step Functions.

  • Enable self-service analytics through tools like ThoughtSpot and QuickSight Q.

  • Ensure data integrity, security, governance, and compliance.

  • Mentor and support junior engineers to build a high-performing team.


Qualifications

  • 5+ years of experience in Data Engineering, Analytics, and ML.

  • Strong proficiency in Python and SQL.

  • Hands-on experience with AWS data stack (Glue, Redshift, S3, Athena, Lambda).

  • Proven expertise in data modeling, warehousing, and performance optimization.

  • Experience deploying ML models using scikit-learn, XGBoost, or SageMaker.

  • Exposure to big data frameworks (Spark/EMR).

  • Strong communication, stakeholder management, and collaboration skills.


Preferred Skills

  • Experience with LLM frameworks (LangChain, Bedrock, Vector DBs, RAG).

  • Familiarity with MLOps, feature stores, and model versioning.

  • Prior team leadership or ownership of end-to-end projects.

  • AWS, Data Engineering, or ML certifications and/or open-source contributions.


Why Join Eltropy?

  • Work on mission-critical backend systems powering financial institutions.

  • Build on modern technology stacks in a rapidly growing SaaS company.

  • Enjoy 100% remote work with a collaborative, engineering-driven culture.

  • Opportunity to own and shape core backend architecture with real impact.


About Eltropy (

Eltropy is a rocket ship FinTech on a mission to disrupt the way people access financial services.

Eltropy enables financial institutions to digitally engage in a secure and compliant way.

Using our world-class digital communications platform, community financial institutions can improve operations, engagement and productivity.

CFIs (Community Banks and Credit Unions) use Eltropy to communicate with consumers via Text, Video, Secure Chat, co-browsing, screen sharing and chatbot technology — all integrated in a single platform bolstered by AI, skill-based routing and other contact center capabilities.


Eltropy Values

  • Customers are our North Star
  • No Fear - Tell the truth
  • Team of Owners


Eltropy is an equal opportunity employer.

All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Required Skill Profession

Mathematical Science Occupations


  • Job Details

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Unlock Your Lead Data Potential: Insight & Career Growth Guide


Real-time Lead 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 Lead Data in Dindigul, India, highlighting market share and opportunities for professionals in Lead Data roles.

318082 Jobs in India
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Are You Looking for Lead Data Engineer & ML Analyst Job?

Great news! is currently hiring and seeking a Lead Data Engineer & ML Analyst to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

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 Eltropy 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 Lead Data Engineer & ML Analyst Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Dindigul. 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.

What Are the Key Qualifications for Lead Data Engineer & ML Analyst?

Key qualifications for Lead Data Engineer & ML Analyst typically include Mathematical Science 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.

How Can I Improve My Chances of Getting Hired for Lead Data Engineer & ML Analyst?

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Interview Tips for Lead Data Engineer & ML Analyst Job Success

Eltropy interview tips for Lead Data Engineer & ML Analyst

Here are some tips to help you prepare for and ace your Lead Data Engineer & ML Analyst job interview:

Before the Interview:

Research: Learn about the Eltropy'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.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

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

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

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

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

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

Additional Tips:

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

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Lead Data Engineer & ML Analyst interview at Eltropy, 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 Eltropy'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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