This position is posted by Jobgether on behalf of a partner company. We are currently looking for a
Software Engineer (L3)
in
India
.In this role, you will contribute to the design, development, and maintenance of a highly scalable and reliable data platform that enables deep insights from large, distributed datasets. You will collaborate with cross-functional teams to implement robust data architectures, pipelines, and governance solutions that support critical business decisions. The role involves making key technical decisions, optimizing data performance, and ensuring compliance with regulatory standards. You will have the opportunity to work in a remote-first, collaborative environment, leveraging modern data tools and cloud platforms. This position also allows for mentorship and knowledge sharing, helping elevate the technical capabilities of the broader engineering team. Your work will directly impact the efficiency, accuracy, and innovation of the organization's data-driven solutions.
Accountabilities:
- Design, build, and maintain scalable data architectures, including databases and large-scale processing systems
- Develop efficient data pipelines for data acquisition, storage, and analysis
- Collaborate with cross-functional teams to understand data requirements and implement solutions
- Ensure data availability, integrity, and performance across platforms
- Troubleshoot and resolve data-related issues, ensuring minimal downtime
- Maintain comprehensive documentation for data pipelines and processes
- Stay updated on emerging technologies and best practices in data engineering
Requirements
- 5-7 years of experience in backend technologies with data infrastructure, platforms, and governance
- Proficiency in programming languages such as Scala, Python, and Java
- Knowledge of metadata management, data classification, data quality, lineage, and cataloging
- Understanding of access management models (ABAC, RBAC); experience with Privacera, Immuta, or Apache Ranger is a plus
- Experience with distributed computing frameworks (Hadoop, Spark) and large datasets
- Knowledge of ETL tools, data lakes (Hudi), low-latency data stores, and multiple data warehouses
- Familiarity with cloud platforms (AWS, Azure, Google Cloud)
- Strong understanding of regulatory compliance (GDPR, HIPAA, PCI) and automated data workflows
- Experience in Agile development environments and collaborative, remote-first teams
- Excellent communication skills and the ability to work independently under ambiguous circumstances
- Bonus: experience with containerization and orchestration tools (Docker, Kubernetes)
Benefits
- Competitive salary and comprehensive health and wellness benefits
- Remote-first work environment with flexibility across locations in India (Karnataka, Maharashtra, New Delhi, Tamil Nadu, Telangana)
- Opportunities to work with cutting-edge data platforms and distributed systems
- Professional growth and learning opportunities in a dynamic, innovative team
- Engagement in strategic projects impacting business-critical decisions
- Support for volunteering and community involvement 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.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!
