Senior Data Engineer (Remote - India) at Jobgether

, , India -

Full Time

Start Date

Immediate

Expiry Date

20 Jan, 26

Salary

0.0

Posted On

22 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Spark, SQL, Databricks, PySpark, Delta Lake, AWS, Data Pipelines, Performance Tuning, Data Modeling, CI/CD, Mentoring, Problem Solving, Analytical Skills, Communication Skills

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. As a Senior Data Engineer, you will play a pivotal role in designing, building, and optimizing high-performance data pipelines and platforms. You will collaborate with analysts, engineers, and stakeholders to translate complex business requirements into scalable, production-ready solutions. This role emphasizes reliability, efficiency, and performance, while also providing opportunities to mentor teammates and shape technical standards. You will work with cutting-edge technologies such as Spark, Databricks, and AWS, driving initiatives that impact critical data workflows. The environment is fast-paced and collaborative, supporting continuous learning and innovation. Your contributions will directly influence the success of high-visibility projects and strategic business outcomes. Accountabilities Design, build, and maintain end-to-end data pipelines, ensuring performance, reliability, and scalability. Collaborate with analysts, engineers, and stakeholders to translate business needs into production-ready data solutions. Establish and evangelize technical best practices for coding, data modeling, monitoring, and CI/CD workflows. Conduct architectural and code reviews, mentoring team members and sharing knowledge across the team. Perform performance-tuning initiatives using tools such as Spark UI, cluster configuration, and shuffle reduction. Evaluate and integrate new capabilities in Databricks and AWS to improve platform efficiency. Produce high-quality documentation, architecture diagrams, and internal training materials. Bachelor’s or Master’s degree in Computer Science, STEM, or a related technical discipline. 6+ years of experience in data engineering or related technical roles, with hands-on experience in Spark, SQL, and large-scale data processing. Expertise with Databricks, PySpark, Delta Lake, and cloud platforms (AWS preferred). Proven track record of building robust data pipelines, implementing technical standards, and solving complex data challenges. Experience mentoring junior engineers and contributing to team growth. Strong problem-solving, analytical, and communication skills. Ability to manage competing priorities, work independently, and collaborate effectively in a global, fast-paced environment. Preferred: Experience in CI/CD, data governance, and cloud-based data platform optimization. Remote-first work environment with flexible scheduling. Competitive salary and performance-based incentives. Health insurance coverage for self and family. Professional development opportunities, including training, certifications, and workshops. Exposure to cutting-edge data engineering technologies and methodologies. Collaborative culture with mentorship and knowledge-sharing initiatives. 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. This 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 offering the position. The final decision and next steps (such as interviews or assessments) are made by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

Design, build, and maintain end-to-end data pipelines while ensuring performance, reliability, and scalability. Collaborate with analysts, engineers, and stakeholders to translate business needs into production-ready data solutions.