Senior Data Engineer (Remote - India) at Jobgether

, , India -

Full Time

Start Date

Immediate

Expiry Date

13 Jan, 26

Salary

0.0

Posted On

15 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure Data Services, Databricks, Power BI, Python, Test-Driven Development, Continuous Integration, DevOps Practices, Data Engineering, ETL Processes, Medallion Architecture, Agile Methodologies, Analytical Skills, Problem-Solving, Collaboration, Automation, Performance Optimization

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineer in India. This role offers the opportunity to work with cutting-edge data technologies to design, develop, and maintain scalable data pipelines and analytical solutions. You will leverage Azure PaaS services, Databricks, and Power BI to implement medallion architecture for efficient data processing and reporting. The position emphasizes automation, DevOps practices, and test-driven development to ensure high-quality, reliable solutions. You will collaborate closely with stakeholders, team leads, and QA teams to define requirements, implement enhancements, and troubleshoot issues across development, staging, and production environments. This role is ideal for proactive engineers who enjoy optimizing performance, solving complex data problems, and contributing to impactful data-driven decision-making. Accountabilities Design, build, and maintain robust data pipelines and ETL processes using Azure data PaaS, Databricks, and Power BI. Implement medallion architecture to structure and optimize data flow. Automate unit and integration testing throughout the development lifecycle. Collaborate with team leads and stakeholders to clarify requirements, estimate development efforts, and finalize work plans. Benchmark and optimize code to ensure performance, scalability, and reliability. Support and troubleshoot deployment issues across Development, QA, Staging, and Production environments. Work closely with QA teams on issue resolution, change management, and continuous improvement. Develop prototypes as needed to validate design approaches and gather stakeholder feedback. Bachelor’s degree in Computer Science, Data Science, or a related field (or equivalent combination of education and experience). Strong experience with Azure data services, Databricks, and Power BI. Proficiency in Python for data engineering tasks. Solid understanding of test-driven development, continuous integration, and DevOps practices. Experience in converting high-level designs to low-level implementation. Ability to collaborate effectively with cross-functional teams and resolve integration or deployment issues. Strong analytical, problem-solving, and troubleshooting skills. Ability to prioritize workload, manage multiple tasks, and adapt to a fast-paced environment. Preferred Skills: Experience with medallion architecture and modern data modeling practices. Familiarity with automation and orchestration of ETL pipelines. Exposure to Agile methodologies and software development best practices. Competitive salary with comprehensive benefits package. Health, life, and personal accident insurance. Paid vacation and contingency leave. Professional development opportunities, including training and certifications. Exposure to modern data technologies and cloud platforms. Flexible and collaborative work environment. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

Design, build, and maintain robust data pipelines and ETL processes using Azure data PaaS, Databricks, and Power BI. Collaborate with stakeholders and QA teams to define requirements, implement enhancements, and troubleshoot issues across various environments.