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    Job · 22359088

    Spark Eighteen logo

    Data Engineer - AI-Driven Data Platforms

    Spark Eighteen · Delhi · hybrid · Posted today

    Undisclosed5–8 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    Job Description

    Were passionate about building seamless digital experiences powered by robust and intelligent data systems. Were on the lookout for a Data Engineer - AI-Driven Data Platforms to architect and maintain high-performance data platforms that fuel decision-making and innovation.

    If you enjoy designing scalable pipelines, optimising data systems, and leading with technical excellence, youll thrive in our fast-paced, outcome-driven culture.

    Youll take ownership of building reliable, secure, and scalable data infrastructure - from streaming pipelines to data lakes. Working closely with engineers, analysts, and business teams, you’ll ensure that data is not just available, but meaningful and impactful across the organization.

    Requirements

    • 5+ years of experience in Data Engineering and production-scale data platforms.
    • Design and manage Apache Airflow pipelines for high-volume sensor, satellite, and third-party data ingestion.
    • The project requires experience with Object Storage (such as AWS S3 or MinIO), Kafka streaming, and familiarity with an Ubuntu environment.
    • Build and optimize Apache Spark workloads for batch processing, geospatial analytics, and large-scale aggregations.
    • Develop and maintain PostgreSQL, TimescaleDB, PostGIS, and DuckDB-based data solutions.
    • Implement efficient data ingestion, transformation, and bulk-loading pipelines.
    • Containerize and deploy applications using Docker and Docker Compose, including air-gapped environments.
    • Collaborate with customer teams to translate business requirements into data products and analytical solutions.
    • Ensure data quality, lineage, observability, performance, and SLA compliance.
    • Troubleshoot production issues and optimize pipeline, database, and query performance.
    • Create and maintain technical documentation, data models, and operational run-books.
    • Demonstrate strong proficiency in Python, SQL, Airflow, Spark, and PostgreSQL.
    • Experience with geospatial and time-series data, S3-compatible storage, and secure customer environments.
    • Strong communication, stakeholder management, and problem-solving skills.

    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.
    • Opportunity 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

    Sourced from naukri

    Skills

    Hiveamazon web servicesapache airflowApache HadoopDatabricksData EngineeringPythonMySQLSnowflakeData Pipeline

    About Spark Eighteen

    Spark Eighteen logo

    Spark Eighteen

    Software Product

    51

    employees

    2011

    15 years old

    New Delhi, Delhi

    India

    ₹8.2L PA avg

    Avg at Spark Eighteen

    About

    Founded over 12 years ago with a simple belief: every ambitious vision deserves world-class technical execution. We started Spark Eighteen because we saw too many brilliant ideas fail not from lack of vision, but from inadequate technical partnership.Since our bootstrapped beginning, we've grown into the go-to technology partner for companies that think beyond just building—they build to scale, build to exit, build to transform entire industries. We've contributed over $1 billion in revenue to our clients' products and helped orchestrate successful acquisitions including Live Objects to Zuora and Glide Health to McKesson.We serve three core customer types: early-stage startups needing rapid MVP-to-market execution, growth companies scaling from Series A to acquisition, and Fortune 500 enterprises driving digital transformation. Whether it's a healthcare startup revolutionizing patient care or a fintech company reshaping financial services, we become their strategic technical co-founder—minus the equity.What sets us apart? We don't chase contracts—we build relationships. Our quality-first development philosophy means we're obsessed with creating architectures that don't just work today, but attract partnerships tomorrow. We've learned that sustainable success comes from genuine partnership, not vendor relationships.As a profitable, bootstrapped company, we've maintained our startup agility while building enterprise-grade solutions. Our team brings a global perspective from building across 20+ countries, yet we stay true to our core belief: the best technology partnerships feel less like outsourcing and more like adding the perfect technical co-founder to your team.Every partnership begins with a 2-week proof-of-concept because we believe the right technical partner can make the difference between a good product and an acquisition target.

    Industries

    Software ProductIT Services & Consulting

    Employee ratings

    10 reviews

    4.2/ 5

    Culture

    3.0

    Career growth

    2.9

    Work-life

    3.2

    Employees rate it well for

    Skill Development44Company Culture42

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