Senior Software Engineer - Data Products (Remote - India) at Jobgether

, , India -

Full Time

Start Date

Immediate

Expiry Date

05 Jan, 26

Salary

0.0

Posted On

07 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Engineering, Data Engineering, ETL, Data Pipelines, Microservices, Data Quality, Collaboration, Data Modeling, Cloud Platforms, Event-Driven Systems, Distributed Systems, Analytical Skills, Problem-Solving, Mentoring, Innovation, Product-Oriented Mindset

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Software Engineer – Data Products in India. As a Senior Software Engineer – Data Products, you will play a pivotal role in designing, building, and maintaining the backend services and data pipelines that power enterprise-grade internal productivity platforms. You will work on data integration, transformation, and operationalization, ensuring reliable and actionable insights across multiple internal systems. This role offers the opportunity to collaborate with global product, UX, and data science teams while driving innovation in how data is collected, processed, and surfaced. You will help shape the architecture of modern data platforms, mentor junior engineers, and contribute to a high-impact, cross-functional engineering culture. Accountabilities Design, implement, and maintain ETL/data pipelines to synchronize data from enterprise systems, internal databases, and developer platforms. Build and deploy microservices (REST/gRPC) and backend services that make data accessible to applications and dashboards. Ensure data quality, consistency, and reliability across multiple sources while implementing governance and lineage practices. Collaborate with product managers, UX designers, and data scientists to deliver end-to-end features and actionable data products. Participate in architecture and design discussions, including data modeling, storage strategies, and distributed system patterns. Mentor junior engineers, promote best practices, and continuously improve engineering workflows and operational excellence. Propose and implement innovations in data integration, storage, and product design to enhance scalability and usability. 5+ years of software engineering experience with a strong foundation in backend and data engineering. Experience designing and building ETL/data pipelines using orchestration tools such as Airflow, Dagster, or Prefect. Solid knowledge of relational databases (schema design, query optimization, data modeling) and familiarity with modern storage models (Lakehouse, Delta, Iceberg). Hands-on experience with event-driven systems (Kafka, Pulsar) and distributed data processing frameworks (e.g., Spark). Experience building and deploying microservices (REST/gRPC) in distributed environments. Familiarity with cloud platforms (AWS, GCP, or Azure) and best practices for deployment, scaling, and reliability. Strong analytical and problem-solving skills, with attention to detail and operational excellence. Excellent cross-functional collaboration and communication skills, especially in global teams. Product-oriented mindset: able to work closely with UX/Product to make data insights intuitive and actionable. Preferred / Nice-to-Have: Experience with modern data storage architectures and analytics frameworks. Familiarity with hybrid work models and collaboration across multiple time zones. Leadership experience in mentoring or guiding engineering teams. Competitive salary and compensation package, including potential performance-based incentives. Hybrid work model: 3 days in-office (Tuesday, Wednesday, Thursday) and 2 days remote. Opportunities to work with cutting-edge data technologies and distributed systems. Career growth, skill development, and mentoring opportunities. Collaborative, innovative, and inclusive engineering culture. Flexible work arrangements and supportive workplace policies. 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 3 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 backend services and data pipelines for internal productivity platforms. Collaborate with cross-functional teams to deliver actionable data products and ensure data quality across multiple sources.