SDE 2 (Data Engineering)

Licious; Bengaluru; Sur place; INR 1 200 000 - 1 800 000; Plein temps

Résumé du poste

A leading food service company is seeking a strong SDE 2 – Data Engineering to design and build scalable data infrastructures. This full-time role involves creating and maintaining ETL/ELT data pipelines, collaborating with various teams, and ensuring high data quality using big data technologies. The ideal candidate should possess 2-5 years of experience, proficient SQL skills, and familiarity with AWS services and orchestration tools. This position offers the opportunity to contribute significantly in a dynamic environment.

Qualifications

• 2-5 years of experience in data engineering.
• Hands-on experience with data pipelines and big data technologies.
• Familiarity with data lakehouse architectures is preferred.

Responsabilités

• Develop and maintain scalable ETL/ELT data pipelines.
• Contribute to design discussions and code reviews.
• Implement real-time and batch data processing solutions.
• Ensure data quality and observability across pipelines.
• Collaborate with cross-functional teams.

Connaissances

Experience with big data technologies

Strong SQL expertise (MySQL/PostgreSQL)

Familiarity with NoSQL systems

Proficiency in Python, Scala, or Java

Knowledge of AWS services

Experience with ETL/ELT data pipelines

Problem-solving skills

Outils

Redshift

Snowflake

Airflow

Docker

Kubernetes

Description du poste

Direct message the job poster from Licious

We are looking for a strong and hands‑on SDE 2 – Data Engineering to contribute to the design, development, and scaling of our data infrastructure. The role requires solid technical expertise in building reliable data pipelines, working with big data technologies, and ensuring high‑quality data delivery. You will work closely with senior engineers and cross‑functional teams to build scalable data systems that support analytics, reporting, and business operations at Licious.

Ideal Experience: 2‑5 yrs

What You’ll Do

Core Engineering Responsibilities

• Develop and maintain scalable ETL/ELT data pipelines and data processing workflows.
• Contribute to design discussions, provide code reviews, and ensure high‑quality engineering practices.
• Implement real‑time and batch data processing solutions using technologies such as Spark, Flink, Kafka, or Debezium.
• Ensure data quality, observability, lineage, and monitoring across pipelines.
• Participate in building and optimizing data platforms that support high‑volume and high‑velocity data.
• Contribute to architectural decisions under the guidance of senior engineers and architects.
• Implement best practices around data modeling, partitioning, indexing, and performance optimization.
• Work with product, analytics, and ML teams to understand data requirements and deliver reliable data assets.
• Collaborate with DevOps and platform teams to ensure efficient, scalable, and cost‑optimized deployments.

What You’ll Bring

Technical Skills

• Hands‑on experience with big data technologies.
• Warehousing & Analytics: Redshift, Snowflake, ClickHouse, Hive, Hudi, Iceberg, or Databricks.
• Orchestration: Airflow, Azkaban, or Luigi.
• Strong SQL expertise (MySQL/PostgreSQL) and familiarity with NoSQL systems like MongoDB or Cassandra.
• Working knowledge of AWS services such as S3, EC2, EMR, Glue, RDS, Redshift, Lambda, MSK, or SQS.
• Proficiency in Python, Scala, or Java for building data applications.
• Understanding of software engineering fundamentals — CI/CD, testing, version control.

Soft Skills

• Strong problem‑solving skills with the ability to take ownership of components.
• Ability to work independently and collaborate effectively with cross‑functional teams.
• Eagerness to learn, adapt, and grow towards higher technical responsibilities.

Preferred Qualifications

• Experience with data lakehouse architectures.
• Familiarity with Docker or Kubernetes.
• Exposure to data observability or MLOps frameworks.
• Experience working in fast‑paced or consumer‑tech environments.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Food and Beverage Services