Ge Aerospace
aerospace
StaffDataEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Staff Data Engineer at Ge Aerospace. Skills: Data Lake, AWS, Python, AWS Redshift. Manage and operate business critical Enterprise Data services. Create, maintain and operate services”
What You'll Achieve.
deliver results in a timely manner; enable analytical and reporting solutions
Industry & Context.
Derive solutions and make recommendations from deep dive data analysis proactively
What They're Looking For.
Must Have
8+ years experience, AWS cloud technologies like EC2, EBS, Load balancers, Glue, Lamba, Cloud Formation, AWS Redshift, Application, Data and AWS infrastructure security (e. g. Saviynt, Sail point, AWS Identity center, IAM etc.), FLIGHT DECK
Nice to Have
Extract, Transform & Load (ETL) tools like HVR or Talend or AWS Glue, industry standard data catalog, automated data discovery and data lineage tools (e. g. AWS Glue catalog, other Iceberg catalogs), programming languages like Java, Python or Scala, writing SQL scripts for Oracle, MySQL, PostgreSQL or HiveQL, Big Data / Hadoop / Spark / Hive / NoSQL database engines (i. e. Cassandra or HBase), unstructured datasets, XML, JSON file formats, exploratory data analysis, visual summaries of data
What You'll Do.
Manage and operate business critical Enterprise Data services
maintain and operate services
Manage and maintain metadata data structures
Provide support for post-deployment activities
Deliver results in a timely manner
build and operate technical services
Develop and maintain service specifications
Operational support data loading & transformation
Manage metadata structures for data pipeline
Analyze impact of changes
Recommend alternatives to minimize impact
Derive solutions and make recommendations
build and maintain Operational metrics and KPI
Perform operational data analysis
Apply FLIGHT DECK on a daily basis
How You'll Work.
Team & Collaboration
communicate ideas clearly with cross teams; showcase teamwork skills to achieve common goals; provide resolutions; share ideas; work with really smart and collaborative people
Communication Scope
Ability to communicate ideas clearly with cross teams; Demonstrate the presentation and influencing skills
Process & Methodology
agile methodologies
Full Job Description
# ******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) * Soun
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