27 Aug
|
spark eighteen
|
Delhi
27 Aug
spark eighteen
Delhi
Job Information
- Number of Positions 1
- Date Opened 08/24/2026
- Industry IT Services
- Job Type Full time
- Department Engineering
- Work Experience 5-7 years
- City New Delhi
- State/Province Delhi
- Zip/Postal Code 110017
- Country India
Job Description
We are seeking a Data Engineer with 5+ years of experience to build and scale data platforms powering AI-driven analytics on high-volume sensor, satellite, and third-party data. The ideal candidate will have expertise in designing and managing scalable batch and real-time data pipelines using Apache Airflow, Apache Spark, Kafka, Python, and SQL. Strong experience with PostgreSQL, TimescaleDB, PostGIS, cloud-based data lake architectures, and geospatial/time-series data is essential. The role involves owning data pipelines end-to-end from real-time ingestion to analytics- while ensuring data quality, performance, observability, and reliability in a cloud-native environment. Strong stakeholder management, problem-solving, and collaboration skills are key to delivering impactful data products and analytical solutions.
Requirements
- 5+ years of professional software engineering experience, with a strong focus on data architecture and BI systems
- Build and maintain ETL pipelines, data transformations, and data models to support reporting and analytics
- Design and develop BI dashboards and reports that translate data into business insights
- Strong programming skills in Python or Java
- Strong relational database skills, including schema design, scalability, and SQL for querying and extracting data
- Solid understanding of data concepts including ETL, data structures, metadata management, and workflow orchestration
- Experience solving complex data and technology problems in production environments
- Experience with AWS
- Experience with Agile methodologies (Scrum, Kanban) and bug tracking tools such as JIRA
- Comfortable working in a fast-paced environment with enterprise-grade release cycles and short, iterative SaaS product cycles
- Healthcare industry experience, with familiarity with HIPAA, SOC, and HITRUST compliance requirements
- Strong analytical skills with a detail-oriented mindset
- Strong communication skills, able to translate data-driven insights and technical approaches for technical and non-technical stakeholders
- B.S. in Computer Science, Engineering, or a related field
Benefits
- Comprehensive insurance coverage that gives you peace of mind, so you can focus on doing your best work
- Flexible work arrangements designed to support sustained productivity, personal well-being, and work-life balance
- Continuous learning and accelerated skill development through hands-on projects and mentorship from experienced industry leaders
- Global client exposure across 20+ countries, offering real-world experience with diverse markets and business environments.
- Chance to work on high-impact, large-scale projects that have collectively generated over $1B in measurable business value
- Competitive, market-aligned compensation packages that recognize performance, expertise, and long-term contribution
- Monthly demo days that celebrate innovation, showcase your work, and give you a real voice in what we build
- Annual recognition programs and performance-driven awards in a truly meritocratic environment
- Referral bonuses that reward you for helping grow a strong, like-minded team
- A strong problem-solving culture with opportunities to tackle meaningful, real-world challenges
- A positive, people-first workplace that supports happiness, balance, and long-term growth
📌 Data Engineer - AI-Driven Data Platforms (Delhi)
🏢 spark eighteen
📍 Delhi