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Software Engineer, Data Platform Engineering

2.00 to 4.00 Years   Bangalore   16 Aug, 2022
JPMorgan
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryBanking / Financial Services
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

    As a key member of the Data Platform Engineering team, you will be responsible for designing and building scalable cloud-native foundational data solutions. In this role,
    • You will work closely with a team of passionate data engineers and architects to deliver cloud-native data capabilities
    • You will design strategically while building applications that solve for real-world use cases. You will create logical designs, describe the deployment of the designs on a physical platform then build applications based on articulated designs, recognizing alternatives and proposing choices throughout the process.
    • You will create engineering designs, best practices, guidelines and procedures, as well as repeatable and scalable frameworks to successfully manage large amounts of data, ensuring compliance with data classification requirements while maintaining data integrity and accessibility.
    Requirements
    • Bachelors or Masters degree in Computer Science/Software Engineering or a related field
    • Deeply passionate about learning and innovating using the latest and greatest in big data engineering, cloud and open source
    • Strong design skills for individual applications (solution architecture) and across applications (enterprise architecture)
    • 10+ years of experience in object-oriented programming with expertise in languages such Java and/or Scala;
    • 2+ years of experience in open-source frameworks such as Apache Spark, Apache Airflow, Apache NiFi etc.
    • 2+ year of experience in designing and implementing data solutions on Amazon Web Services (AWS), using offerings such as: S3, Athena, Glue, EMR, Lambda, RDS, EC2, DynamoDB, Elasticache, Redshift
    • 2+ years of experience working in big data environment, working with structured, semi-structured and unstructured data
    • Sound understanding of various data solution patterns and when to use them: ETL/ELT, RDBMS, Normalization/De-normalization, Key-Value, In-Memory, Wide Column, Columnar, Graph, Text Indexing, Streaming, Messaging
    • Strong data architecture, data warehousing, data modeling and data manipulation skills, such as in SQL, Stored Procedures, MySQL, Oracle, SQL Server, PostgreSQL
    • Knowledge of traditional big data systems, such as Hadoop, Impala, Sqoop, Oozie, Cassandra, Hive, HBase
    • Experience with Agile methodologies
    • Strong attention to detail and ability to manage multiple projects and stakeholders
    • Ability to produce quality results in an evolving and a fast-paced environment
    • Familiar with development tools such as Jenkins, Rundeck, SVN/Crucible/Jira, Git/Stash etc.
    Nice to Have
    • Experience with containers, Kubernetes, Docker, Amazon EKS, Amazon ECS, Amazon Fargate
    • Experience in building apps for real-time streaming using Apache Spark Streaming, Apache Kafka and/or Amazon Kinesis
    • Experience in re-engineering and migrating on-premises data solutions to and for the cloud
    • Experience in building on emerging cloud serverless managed services, to minimize/eliminate physical/virtual server footprint
    • Experience implementing security solutions for data storage and processing in the cloud
    • Experience with MPP cloud data-warehouse-as-a-service offerings, such as Snowflake
    ,

Keyskills :
javaamazon web servicesdata solutionssqljquerysql serverbig datajavascript

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