Back-End Engineer (Data Engineering)

🚀 Job Title: Back-End Engineer (Data Engineering)

📍 Location: Bangalore, India

🧑 💼 Experience: 5+ Years

💼 Employment Type: Full-Time

🔍 About the Role

We are looking for a skilled Back-End Engineer with strong expertise in data engineering to design, build, and maintain scalable backend systems and data pipelines.

In this role, you will work with large-scale datasets, distributed systems, and cloud technologies, collaborating closely with data scientists and engineering teams to deliver high-impact, data-driven solutions.

🎯 Key Responsibilities

• Design, develop, and maintain scalable data pipelines using Spark, Scala, Java, and Python
• Build efficient ETL workflows and write optimized SQL queries
• Work with DataFrames for large-scale data processing and analysis
• Develop and manage real-time streaming pipelines using Kafka/MSK
• Implement cloud-based data solutions (AWS or GCP)
• Manage data storage using S3 or similar object storage systems
• Work with data lake technologies (e.g., Iceberg)
• Ensure data quality, integrity, and security across systems
• Collaborate with cross-functional teams to understand and deliver data requirements
• Troubleshoot and optimize performance of data pipelines and backend systems

🧠 Required Skills & Expertise

✅ Must-Have

• 5+ years of experience in backend/data engineering
• Strong proficiency in Spark, Python, Scala, and Java
• Expertise in SQL and relational databases
• Hands-on experience with DataFrames and large-scale data processing
• Experience with cloud platforms (AWS / GCP)
• Experience with Kafka/MSK for real-time data streaming
• Experience with S3 or similar object storage systems
• Understanding of data warehousing concepts
• Strong communication and collaboration skills

➕ Good-to-Have

• Experience with data modeling and schema design
• Knowledge of data governance and data quality frameworks
• Exposure to DevOps practices and CI/CD pipelines
• Certifications such as AWS Data Engineer / GCP Data Engineer

🏗️ Technical Environment

• Languages: Python, Scala, Java
• Frameworks: Apache Spark
• Streaming: Kafka / MSK
• Cloud: AWS / GCP
• Storage: S3, Data Lakes (Iceberg)
• Databases: SQL-based systems

👥 What We’re Looking For

• Strong analytical and problem-solving mindset
• Ability to work with large-scale distributed systems
• Experience in building reliable and scalable backend solutions
• Strong team collaboration and communication skills

🎓 Education

• Bachelor’s degree in Computer Science, IT, or related field (or equivalent experience)

🌟 Why Join

• Work on large-scale data systems and modern cloud platforms
• Opportunity to collaborate with data scientists and high-performing engineering teams
• Exposure to real-time data processing and advanced data lake technologies