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

Requirements

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

Benefits

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!