Responsibilities:
- Design, develop, and implement data processing pipelines to process large volumes of structured and unstructured data
- Should have good knowledge and working experience in Database and Hadoop (Hive, Impala, Kudu).
- Should have good knowledge and working experience in scripting using (Shell script, awk programming, quick automation to integrating any third party tools), BMC monitoring tools
- Good understanding and knowledge in Data Modelling area using industry standard data model like (FSLDM)
- Collaborate with data engineers, data scientists, and other stakeholders to understand requirements and translate them into technical specifications and solutions
- It will be good to have experience in working with No SQL as well as virtualized Database Environment
- Implement data transformations, aggregations, and computations using Spark RDDs, DataFrames, and Datasets, and integrate them with Elasticsearch
- Develop and maintain scalable and fault-tolerant Spark applications, adhering to industry best practices and coding standards
- Troubleshoot and resolve issues related to data processing, performance, and data quality in the Spark-Elasticsearch integration
- Monitor and analyze job performance metrics, identify bottlenecks, and propose optimizations in both Spark and Elasticsearch components
- Prior experience in developing banking application using ETL, Hadoop is mandatory. In depth knowledge of technology stack at global banks is mandatory.
Job Requirements:
- Strong experience in developing Hadoop/Spark.
- Strong experience in data lakes (integration of different data sources into the data lake)
- SQL Stored Procedures/Queries/Functions
- Unix Scripting
- Data Architecture (Hadoop)
- Solid understanding data modelling, indexing strategies, and query optimization
- Experience with distributed computing, parallel processing, and working with large datasets
- Familiarity with big data technologies such as Hadoop, Hive, and HDFS
- Job Scheduling in Control-M
- Strong problem-solving and analytical skills with the ability to debug and resolve complex issues
- Familiarity with version control systems (e.g., Git) and collaborative development workflows
- Excellent communication and teamwork skills with the ability to work effectively in cross-functional teams
