Know ATS Score
CV/Résumé Score
  • Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: Senior Data Engineer.
India Jobs Expertini

Urgent! Senior Data Engineer Job Opening In erode – Now Hiring USEReady

Senior Data Engineer



Job description

Job Title: Senior Databricks Engineer

Experience Level: 5-8 Years

Job Summary

As a Senior Databricks Engineer, you will be responsible for designing, developing, and optimizing our data architecture and pipelines on the Databricks Lakehouse Platform.

You will leverage your deep expertise in Spark, Delta Lake, and cloud technologies to build scalable and reliable solutions that process large-scale data efficiently.

The ideal candidate is a proactive problem-solver with a strong background in data engineering and a passion for mentoring and driving technical excellence.

Key Responsibilities

  • Architect and Develop: Design, build, and maintain robust and scalable data pipelines and ETL/ELT processes using Databricks, Apache Spark, and Python/Scala.

  • Lakehouse Implementation: Architect and implement solutions on the Databricks Lakehouse Platform, including data modeling, ingestion, storage, and processing using Delta Lake.

  • Performance Optimization: Analyze and tune the performance of Spark jobs and Databricks clusters to ensure high efficiency, reliability, and cost-effectiveness.

  • Data Governance: Implement and manage data governance, data quality, and security best practices within Databricks, utilizing features like Unity Catalog.

  • Collaboration: Work closely with data scientists, analysts, and business stakeholders to understand their data requirements and deliver high-quality, end-to-end data solutions.

  • Automation & CI/CD: Develop and maintain CI/CD pipelines for automated testing and deployment of data workflows (e.g., using Azure DevOps, Jenkins, GitHub Actions).

  • Mentorship: Mentor junior engineers, conduct code reviews, and champion best practices in data engineering and software development.

  • Innovation: Stay current with the latest advancements in the Databricks platform and the broader big data ecosystem, and drive the adoption of new tools and technologies.


Required Qualifications and Skills

  • Experience: 5-8 years of professional experience in a data engineering role.

  • Databricks Expertise: Proven hands-on experience architecting and building solutions on the Databricks platform.

  • Core Technical Skills:
  • Strong proficiency in Python or Scala .

  • Expert-level knowledge of Apache Spark , including Spark SQL and DataFrame APIs.
  • In-depth understanding and practical experience with Delta Lake .

  • Advanced SQL skills and experience with data warehousing concepts.

  • Cloud Proficiency: Solid experience with at least one major cloud platform (Azure , AWS , or GCP ), including their data storage and processing services (e.g., Azure Data Lake Storage, AWS S3, Google Cloud Storage).

  • ETL/ELT: Demonstrable experience in designing and implementing complex ETL/ELT pipelines.

  • Problem-Solving: Excellent analytical and problem-solving abilities with a keen attention to detail.

  • Communication: Strong verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

  • Data Visualization: Experience supporting data visualization tools like Power BI or Tableau


Required Skill Profession

Other General



Your Complete Job Search Toolkit

✨ Smart • Intelligent • Private • Secure

Start Using Our Tools

Join thousands of professionals who've advanced their careers with our platform

Rate or Report This Job
If you feel this job is inaccurate or spam kindly report to us using below form.
Please Note: This is NOT a job application form.


    Unlock Your Senior Data Potential: Insight & Career Growth Guide


  • Real-time Senior Data Jobs Trends in erode, India (Graphical Representation)

    Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Senior Data in erode, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 514394 jobs in India and 3540 jobs in erode. This comprehensive analysis highlights market share and opportunities for professionals in Senior Data roles. These dynamic trends provide a better understanding of the job market landscape in these regions.

  • Are You Looking for Senior Data Engineer Job?

    Great news! is currently hiring and seeking a Senior 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 USEReady adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:
    • 1. Independence
    • 2. Loyalty
    • 3. Impartiality
    • 4. Integrity
    • 5. Accountability
    • 6. Respect for human rights
    • 7. Obeying India laws and regulations
  • What Is the Average Salary Range for Senior Data Engineer Positions?

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

    Key qualifications for Senior Data Engineer typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.

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

    To improve your chances of getting hired for Senior 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 Senior Data Engineer Job Success
    USEReady interview tips for Senior Data Engineer

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

    Before the Interview:
    • Research: Learn about the USEReady'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 Senior Data Engineer interview at USEReady, 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 USEReady'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!

  • How to Set Up Job Alerts for Senior Data Engineer Positions

    Setting up job alerts for Senior Data Engineer is easy with India Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!