ApplySarthi

Senior Data Developer

Jobgether

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This role on the market

7,446 open data roles across 584 companies are on ApplySarthi right now, most of them in Bengaluru (434), Hyderabad (325), Mumbai (157).

What data roles keep asking for: AWS (25%), SQL (24%), Python (23%), Machine learning (12%) — counted across their open postings here.

Azure jobs · Databricks jobs · Python jobs · SQL jobs

Jobgether has 4,537 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

Preparing for this interview

Interviews for data roles keep coming back to AWS, SQL, Python, Machine learning. Practise those questions before you sit with Jobgether.

Questions you are likely to be asked

  1. Why do you want to join Jobgether?
  2. What is your experience with Databricks? Tell me one thing you learned the hard way.
  3. Tell me about a hard bug you tracked down. How did you find the cause?
  4. How do you decide what to test, and what does good code review look like to you?
  5. Describe a time a deadline forced a trade-off in quality. What did you choose and why?

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Accountabilities: Design, develop, and maintain robust and scalable data pipelines using Databricks, Apache Spark, SQL, and Python or Scala. Build and optimize solutions capable of processing and transforming large volumes of data efficiently. Monitor existing data pipelines and workflows, identifying opportunities to improve performance, scalability, throughput, and reliability. Work closely with data scientists, analysts, engineers, and business stakeholders to understand data requirements and translate them into effective technical solutions. Implement data quality controls and governance practices to maintain accurate, consistent, and compliant data. Investigate complex data and pipeline incidents, identify root causes, and implement sustainable solutions. Create and maintain clear technical documentation and contribute to engineering standards, best practices, and continuous improvement initiatives. Requirements Solid professional experience in Data Engineering, particularly in the design and development of data pipelines. Hands-on experience with Databricks and Apache Spark. Strong SQL knowledge and experience working with large datasets. Proficiency in Python or Scala for data engineering applications. Professional experience with Microsoft Azure and cloud-based data solutions. Strong analytical and problem-solving abilities, including experience troubleshooting complex data-related issues. Excellent communication skills in both English and Portuguese, with the ability to collaborate effectively with technical teams, clients, and business stakeholders. Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. Ability to work collaboratively, communicate clearly, and contribute to shared engineering standards and practices. Benefits Health and dental insurance. Meal and food allowance. Childcare assistance. Extended paternity leave. Partnerships with gyms and health and wellness professionals through Wellhub and TotalPass. Profit Sharing and Results Participation (PLR). Life insurance. Continuous learning opportunities through a dedicated corporate learning platform. Discounts through an employee discount club. Free online resources focused on physical, mental, and overall well-being. Pregnancy and responsible parenting course. Partnerships with online learning platforms. Language learning platform. Additional employee benefits and development opportunities. Remote work environment.

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Listed on lever · posted 2026-09-28. ApplySarthi collects openings and links to application pages; the role is advertised by Jobgether, not by us.