Staff Data Engineer
Job Description Summary
Responsible for managing and operating business critical Enterprise Data services in the Data Lake eco-system (like Data warehouse, Data ingestion) and data architecture solutions in order to enable analytical and reporting solutions.Responsible for Create, maintain and operating the services. Also responsible for managing and maintaining metadata data structures besides providing necessary support for post-deployment related activities. Accountable to deliver results in a timely manner using agile methodologies.
Job Description
Site Overview
Established in 2000, the John F. Welch Technology Center (JFWTC) in Bengaluru is our multidisciplinary research and engineering center. Engineers and scientists at JFWTC have contributed to hundreds of aviation patents, pioneering breakthroughs in engine technologies, advanced materials, and additive manufacturing
Role Overview
Design, build and operate technical services to support critical business processes and high volume Data Lake environment.
Develop and maintain service specifications based on the results of operational data and functional requirements
Operational support a variety of data loading & data transformation methods using multiple tools and technologies.
Manage metadata structures needed for building data pipeline and object lineage.
Good working hands-on knowledge of AWS cloud technologies like EC2, EBS, Load balancers, Glue, Lamba, Cloud Formation etc.
AWS Redshift hands-on experience
Analyze the impact of changes to downstream data systems/products and recommend alternatives to minimize the impact.
Good knowledge on Application, Data and AWS infrastructure security (e.g. Saviynt, Sail point, AWS Identity center, IAM etc.)
Derive solutions and make recommendations from deep dive data analysis proactively.
Design, build and maintain Operational metrics and KPI and rules.
Perform operational data analysis for DVM(Daily Visual Management)
Sound understanding and applying FLIGHT DECK (internal candidates) on a daily basis.
The Ideal Candidate:
The ideal candidate should have experience in AWS Redshift and Python
Required Qualifications:
Bachelor's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) with 8+years experience.
Preferred Qualifications
Exposure to Extract, Transform & Load (ETL) tools like HVR or Talend or AWS Glue
Exposure to industry standard data catalog, automated data discovery and data lineage tools (e.g. AWS Glue catalog, other Iceberg catalogs)
Hands-on experience in programming languages like Java, Python or Scala
Hands-on experience in writing SQL scripts for Oracle, MySQL, PostgreSQL or HiveQL
Experience with Big Data / Hadoop / Spark / Hive / NoSQL database engines (i.e. Cassandra or HBase)
Exposure to unstructured datasets and ability to handle XML, JSON file formats
Conduct exploratory data analysis and generate visual summaries of data.
Domain Expertise:
Exposure to handling structured and semi-structured data from business processes
- Knowledge of for industrial applications in a commercial/finance/industrial/manufacturing settings.
- Exposure to Industrial business data domains
Leadership Skills:
A good team player with self-driven execution capabilities.
Ability to communicate ideas clearly with cross teams.
Ability to showcase teamwork skills to achieve common goals, provide resolutions and share ideas.
Demonstrate the presentation and influencing skills
At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here, you will have the opportunity to work on really cool things with really smart and collaborative people. Together, we will mobilize a new era of growth in aerospace and defense. Where others stop, we accelerate.
Additional Information
Relocation Assistance Provided: No
