We are hiring!!!

• Experience in building end to end architecture for Data Lakes, Data Warehouses and Data Marts

• Experience of DWH, Data Integration, Cloud, Architecture, Design, Data Modelling

• Hands-on experience in PySpark is a must

• Experience working with structured and unstructured data

• Extensive knowledge of ETL and Data Warehousing concepts, strategies, methodologies

• Experience in data ingestion, preparation, integration, and operationalization techniques in optimally addressing the data requirements

• Experience in relational data processing technology like MS SQL, Delta Lake, Spark SQL, SQL Server

• Experience with Orchestration tools and GitHub

• Experience to own end-to-end development, including coding, testing, debugging and deployment.

• Must be team oriented with strong communication, collaboration, prioritization, and adaptability skill

• Need to be an individual performer as well as a Lead

• Develop, program, and maintain applications using the Apache Spark open-source framework

• Work with different aspects of the Spark ecosystem, including Spark SQL, DataFrames, Datasets, and streaming

• Spark Developer must have strong programming skills in Java, Scala, or Python

• Familiar with big data processing tools and techniques

• Proven experience as a Spark Developer or a related role

• Strong programming skills in Java, Scala, or Python

• Familiarity with big data processing tools and techniques

• Experience with the Hadoop ecosystem

• Good understanding of distributed systems

• Experience with streaming data platforms

• Excellent analytical and problem-solving skills

Key Skills:

• Java Springboot with Microservice Architecture knowledge

• REST/GraphQL

• Mongo

• K8s (preferably EKS)

• TDD, ATDD

• Java/Python Spark

• AWS: s3, Lambda, Step Function, AMQ, SNS, SQS, CloudWatch Events iption text goes here