Data Engineer I

1 week ago

Greater Bengaluru Area, India Licious Full time ₹ 5,00,000 - ₹ 10,00,000 per year

SDE 1 – Data Platform Engineer

Overview

We are looking for a passionate and motivated
Software Development Engineer (SDE 1) – Data Platform
to join our growing Data Platform Engineering team at
Licious
.

In this role, you'll design, build, and optimize data systems and pipelines that fuel analytics, reporting, and data-driven decision-making across the organization. You'll work on modern data platforms, collaborate with experienced engineers, and gain hands-on exposure to cutting-edge data and cloud technologies.

This opportunity is ideal for someone who enjoys solving complex data problems, working with large-scale systems, and continuously learning in a fast-paced, high-impact environment.

What You'll Do

Data Pipelines & Infrastructure

  • Design and develop scalable
    ETL/ELT pipelines
    and workflows using orchestration tools such as
    Airflow, Azkaban, or Luigi
    .
  • Build
    batch and real-time data processing systems
    using technologies like
    Apache Spark, Flink, Kafka, and Debezium
    .
  • Implement
    data quality, observability, and lineage frameworks
    to ensure reliable, accurate, and trusted data delivery.

Data Management & Optimization

  • Develop and maintain
    data ingestion, transformation, and storage layers
    using modern data lake and warehouse platforms (
    AWS S3, Redshift, Snowflake, Databricks
    ).
  • Write and optimize
    SQL queries
    and data models to support analytical and reporting workloads.
  • Collaborate with senior engineers to enhance
    system performance, scalability, and cost efficiency
    .

Collaboration & Delivery

  • Partner with
    data analysts, ML engineers, and product teams
    to translate business needs into scalable data solutions.
  • Work closely with
    platform and DevOps teams
    to ensure secure, efficient, and automated data operations.
  • Participate in
    code reviews
    , maintain high-quality documentation, and follow
    software engineering best practices
    .

Continuous Learning

  • Stay updated with emerging
    data technologies, frameworks, and cloud solutions
    .
  • Contribute to initiatives in
    data standardization, governance, and automation
    to strengthen the organization's data foundation.

What You'll Bring

Technical Skills :

  • Strong understanding of
    data engineering fundamentals
    — ETL/ELT design, data modeling, warehousing, and lake architectures.
  • Hands-on experience with one or more data technologies such as
    Spark, Kafka, or Airflow
    .
  • Proficiency in
    Python, Java, or Scala
    for data engineering and automation tasks.
  • Strong
    SQL skills
    and familiarity with relational databases (e.g.,
    MySQL, PostgreSQL
    ).
  • Exposure to
    cloud environments
    , preferably
    AWS
    , including services like
    S3, Glue, Redshift, EMR
    .

Foundational Knowledge :

  • Understanding of
    software engineering practices
    — version control (Git), testing, CI/CD, and documentation.
  • Basic awareness of
    data governance, observability, and quality monitoring
    concepts.

Soft Skills :

  • Strong
    analytical thinking and problem-solving
    mindset.
  • Collaborative and eager to learn from experienced mentors.
  • Detail-oriented, reliable, and driven to build scalable, high-performance systems.

Preferred Qualifications :

  • Experience or exposure to
    data lakehouse architectures
    .
  • Familiarity with
    containerization (Docker)
    and
    orchestration (Kubernetes)
    .
  • Understanding of
    MLOps, data observability, or data catalog frameworks
    .
  • Prior experience in
    high-growth, consumer-tech, or digital-first environments
    .

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