Big Data Developer

Job Description & Requirements

• Developing and optimising ETL (Extract, Transform, Load) processes to ingest and transform large volumes of data from multiple sources.
• Must have exp in investment banking ,payment and transaction banking domain.
• Developing and deploying data processing applications using Big Data frameworks such as Hadoop, Spark, Kafka, or similar technologies.
• Proficiency in programming languages and scripting (e.g., Java, Scala, Python, SQL) for data processing and analysis.
• Experience with cloud platforms and services for Big Data (e.g., AWS, Azure, Google Cloud

Primary Skills

• Designing, building, and maintaining systems that handle large volumes of data, enabling businesses to extract valuable insights and make data-driven decisions.
• Creating scalable and efficient data pipelines, implementing data models, and integrating various data sources.
• Developing and deploying data processing applications using Big Data frameworks such as Hadoop, Spark, Kafka
• Write efficient and optimised code in programming languages like Java, Scala, Python to manipulate and analyse data
• Creating scalable and efficient data pipelines, implementing data models, and integrating diverse data sources to enable businesses to extract valuable insights.