Data Engineer Job Vacancy in GE Aviation Bengaluru, Karnataka – Updated today
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Full Details :
Company Name : GE Aviation
Location : Bengaluru, Karnataka
Position :
Job Description : Job Description Summary
As a Data Engineer in Integrations team, you will work on developing, testing and implementing real-time and batch Data Integrations solutions making Data available for analytical and reporting needs with defined data quality. You will be working on integration technologies both on-prem and cloud environments using mix of tools for data migration, automating solutions with lean mind set and scaling Data Ingestions in the enterprise Datalake.
Job Description
Responsibilities:
Develop data ingestion Jobs in-line with defined data pipeline using AWS technologies(Glue, DMS), Talend & HVR tools
Hands-on development with tools such as Talend, HVR, AWS native services – S3, Glue, Lambda, SNS, SQS, DynamoDB, DMS RedShift
Utilize CI/CD Processes to automate development, deployment and testing
Write SQL query’s to pivot and develop custom jobs
Managing Ingestion metadata as you develop the new Integrations and maintain documentation for jobs that are developed
Collaborate with business users, architects and developers to build solutions that meet business needs
Optimizing data integration flow for increasing data volume’s and better latency
Operate in Agile framework, creating user stories from and tasks from customer requirements to track project progress
Qualifications/ Requirements:
Bachelor’s Degree in Computer Science, Information Technology or equivalent (STEM)
Minimum 3+ years of experience as Data Engineer specialist.
Hands-on experience in programming languages like Python, Spark
Hands-on experience with AWS services – S3 / Glue / Glue Catalog/ Lambda / SNS / SQS / Dynamo DB / RedShift / EMR / Apache HUDI / DMS / EventBridge / CICD
Exposure to Extract, Transform & Load (ETL) tools like Informatica or Talend or HVR.
Hands-on experience in writing SQL scripts for Oracle, MySQL, PostgreSQL or Hive
Exposure with Big Data / Hadoop / Hive.
Exposure to unstructured datasets and ability to handle XML, JSON file formats
Ability to understand logical and physical data models, big data storage architecture, data modeling methodologies, metadata management, master data management & data lineage techniques
Exposure to Agile framework with an ability to collaboration between self-organizing cross-functional teams and focus on essential priority work.
Behavior skills:
Partner with other team members to understand the project objectives and resolve technical issues.
Communicate project status or challenges in a clear and concise manner to the cross team members.
Desired Characteristics
Experience in Ingestion tools: Talend, HVR, AWS native services – S3, Glue, Lambda, SNS, SQS, DynamoDB, DMS RedShift
Experience in different types of ingestion patterns real-time, schedule, event-driven.
Experience with CDC/Incremental loads using above specified tools and technologies.
Experience with CI/CD Processes to automate development, deployment and testing
Excellent written and verbal communication skills, especially with story owners
Self-driven to learn new technology’s and build technical skill sets.
Experience with Agile project delivery frameworks
About us:
GE is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
Disclosure of your Gender or Sexual orientation is completely Voluntary and not mandatory.
www.ge.com
Additional Information
Relocation Assistance Provided: No
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