SDE 1 (Data Engineering)

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

In this role, youll design, build, and optimize data systems and pipelines that fuel analytics, reporting, and data-driven decision-making across the organization. Youll 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 Youll 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 organizations data foundation.

What Youll 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 .