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Data Engineer Job Opening In Chennai – Now Hiring C1Exchange


Job description

C1X AdTech Pvt Ltd is a fast-growing product and engineering-driven AdTech company building next-generation advertising and marketing technology platforms.

Our mission is to empower enterprise clients with the smartest marketing solutions, enabling seamless integration with personalization engines and delivering cross-channel marketing capabilities.

We are dedicated to enhancing customer engagement and experiences while focusing on increasing Lifetime Value (LTV) through consistent messaging across all channels.
Our engineering team spans front end (UI), back end (Java/Node.js APIs), Big Data, and DevOps, working together to deliver scalable, high-performance products for the digital advertising ecosystem.
Role Overview
As a Data Engineer, you will be a key member of our data engineering team, responsible for building and maintaining large-scale data products and infrastructure.

You’ll shape the next generation of data analytics tech stack by leveraging modern big data technologies.

This role involves working closely with business stakeholders, product managers, and engineering teams to meet diverse data requirements that drive business insights and product innovation.

Objectives
  • Design, build, and maintain scalable data infrastructure for collection, storage, and processing.
  • Enable easy access to reliable data for data scientists, analysts, and business users.
  • Support data-driven decision-making and improve organizational efficiency through high-quality data products.

Responsibilities
  • Build large-scale batch and real-time data pipelines using frameworks like Apache Spark on AWS or GCP.
  • Design, manage, and automate data flows between multiple data sources.
  • Implement best practices for continuous integration, testing, and data quality assurance.
  • Maintain data documentation, definitions, and governance practices.
  • Optimize performance, scalability, and cost-effectiveness of data systems.
  • Collaborate with stakeholders to translate business needs into data-driven solutions.

Qualifications
  • Bachelor’s degree in Computer Science, Engineering, or related field (exceptional coding performance on platforms like LeetCode/HackerRank may substitute).
  • 2+ years’ experience working on full lifecycle Big Data projects.
  • Strong foundation in data structures, algorithms, and software design principles.
  • Proficiency in at least two programming languages – Python or Scala preferred.
  • Experience with AWS services such as EMR, Lambda, S3, DynamoDB (GCP equivalents also relevant).
  • Hands-on experience with Databricks Notebooks and Jobs API.
  • Strong expertise in big data frameworks: Spark, MapReduce, Hadoop, Sqoop, Hive, HDFS, Airflow, Zookeeper.
  • Familiarity with containerization (Docker) and workflow management tools (Apache Airflow).
  • Intermediate to advanced knowledge of SQL (relational + NoSQL databases like Postgres, MySQL, Redshift, Redis).
  • Experience with SQL tuning, schema design, and analytical programming.
  • Proficient in Git (version control) and collaborative workflows.
  • Comfortable working across diverse technologies in a fast-paced, results-oriented environment.

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Data Engineer Potential: Insight & Career Growth Guide


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

694262 Jobs in India
694262
16041 Jobs in Chennai
16041
Download Data Engineer Jobs Trends in Chennai and India

Are You Looking for Data Engineer Job?

Great news! is currently hiring and seeking a Data Engineer 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 C1Exchange 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 Data Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Chennai. 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 Data Engineer?

Key qualifications for Data 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.

How Can I Improve My Chances of Getting Hired for Data Engineer?

To improve your chances of getting hired for Data Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Data Engineer Job Success

C1Exchange interview tips for Data Engineer

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

Before the Interview:

Research: Learn about the C1Exchange'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 Data Engineer interview at C1Exchange, 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 C1Exchange'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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