Job Title: Data Engineer+ Scala + Spark + SQL
Experience: 5–12 Years
Employment Type: Full-Time
Location: Bangalore
Job Summary
Notice Period: Immediate Joiners or candidates serving a short notice period will be preferred.

We are looking for an experienced Data Engineer with strong expertise in Scala, Apache Spark, SQL, and GCP (or any cloud platform) to build and scale enterprise-grade data platforms and pipelines.

Key Responsibilities
Design, develop, and maintain scalable, fault-tolerant data pipelines and streaming architectures.
Build and optimize real-time and batch data processing applications using Apache Spark, Scala, and Apache Kafka.
Develop high-performance, cloud-based data engineering solutions on GCP or other cloud platforms (AWS/Azure).
Write complex SQL queries and optimize data processing workflows.
Design large-scale data architectures with a focus on performance, scalability, reliability, and security.
Collaborate with Data Scientists, Business Analysts, and cross-functional teams to deliver data-driven solutions.




Optimize existing ETL pipelines and improve system efficiency.
Drive modern data engineering practices including CI/CD, automated testing, and data quality frameworks.
Mandatory Skills
Strong hands-on experience with Apache Spark (Batch & Streaming)
Strong programming expertise in Scala
Experience with Apache Kafka (Streaming, Producers/Consumers, Topic Management)
Strong SQL development and query optimization skills
Hands-on experience with Google Cloud Platform (GCP) or any major cloud platform (AWS/Azure)
Valuable to Have
Experience with Data Lakes and Lakehouse Architectures (Delta Lake, Apache Iceberg, etc.)
Knowledge of Docker and Kubernetes
Experience with workflow orchestration tools such as Apache Airflow
Understanding of DevOps practices and CI/CD pipelines
Exposure to monitoring and logging tools for distributed systems
Preferred Candidate Profile
5 + years of experience in Data Engineering mandatory
Strong expertise in Scala,

📌 Data engineer with Scala + spark (India)
🏢 HMG America
📍 India