Regular Data Engineer (Bengaluru)

Regular Data Engineer (Bengaluru)

13 Aug
|
Luxoft
|
Bengaluru

13 Aug

Luxoft

Bengaluru

Project Description:

We are seeking a highly skilled Data Engineer to join a large-scale Banking and Financial Services transformation program focused on building enterprise-grade data platforms, analytics solutions, and AI/ML-enabled data products on AWS. The role involves designing, developing, and supporting high-performance data pipelines that process and integrate large volumes of structured and unstructured data across multiple banking systems.
You need to have strong hands-on experience with Spark, Scala, Hadoop (HDFS/Hive), Snowflake, SQL, and AWS data services, along with proven expertise in building scalable ETL frameworks and batch processing solutions. The role requires close collaboration with business, analytics, and technology teams to deliver reliable, secure, and optimized data solutions that support reporting, regulatory, risk, fraud, and advanced analytics use cases.
Key responsibilities include developing and maintaining end-to-end data pipelines, optimizing data warehouse performance in Snowflake, integrating data platforms with AI/ML workloads on AWS,



supporting production environments, performing root cause analysis, and driving CI/CD and automation best practices using tools such as GitHub, GitHub Actions, and TeamCity. Experience in Banking, Financial Crime, AML, or Fraud domains will be highly valued.
This is an excellent prospect to work on cutting-edge cloud-based data engineering initiatives within a complex enterprise banking ecosystem while contributing to data-driven business outcomes and innovation.

Responsibilities:

• Design, develop, and maintain scalable ETL processes and large-scale data pipelines using Spark and Scala.
• Build and support batch data processing solutions across enterprise data platforms.
• Develop and optimize data solutions using Snowflake for warehousing, integration, and performance tuning.
• Work with the Hadoop ecosystem (HDFS, Hive) for data storage and processing.
• Design and optimize SQL queries fo

📌 Regular Data Engineer (Bengaluru)
🏢 Luxoft
📍 Bengaluru

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