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General Electric Sr Data Engineer in Bengaluru, India

Job Description Summary

Responsible for designing, developing, testing and implementing data engineering solutions required for deriding digital solutions in Industrial domains – Gas Power. You will be working analyzing and preparing the data needed for data science-based advanced analytical solutions or web applications aimed at digitisation of the business processes areas such as Product engineering, Services management, contract management , supply chain etc. in Manufacturing industry domain. Also responsible for managing and maintaining metadata data structures besides providing necessary support for post-deployment related activities when needed. Accountable to deliver results in a timely manner using agile methodologies.

Job Description

Roles and Responsibilities

In this role, you should have / will be:

  • Working knowledge of using Big Data technologies to build data pipelines and curate data by having experience in Relation database such as PostgreSQL, Oracle No-SQL DB, Data Pipeline, Data Ingestion / ETL tools such as Informatica, Talent etc.

  • Architect and design the Data Layer components of the Digital solutions / Products that team is building in Industrial domain.

  • Build technical data dictionaries and support business glossaries to analyse the datasets

  • Perform data profiling and data analysis for source systems, manually maintained data, machine generated data and target data repositories

  • Build both logical and physical data models for both Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) solutions

  • Develop and maintain data mapping specifications based on the results of data analysis and functional requirements

  • Perform a variety of data loads & data transformations using multiple tools and technologies

  • Build automated Extract, Transform & Load (ETL) jobs based on data mapping specifications

  • Maintain metadata structures needed for building reusable Extract, Transform & Load (ETL) components.

  • Working & Debugging knowledge on J2EE technology stack and enterprise application development on Spring framework by implementing services.

  • Work internally with different stockholders, data teams, security teams etc for smooth execution of project

  • Must have good communication skills - both oral and written.

Technical Expertise:

  • Hands on - strong Experience with Relational databases such as PostgreSQL, Oracle, My SQL etc. No SQL databases such as DynamoDB

  • Hands-on experience in writing SQL scripts for Oracle, MySQL, PostgreSQL or HiveQL

  • Hands-on experience in programming languages - Python, Java or Scala

  • Experience with Big Data / Hadoop / Hive / NoSQL database engines (i.e. Cassandra or HBase)

  • Understands logical and physical data models, big data storage architecture, data modeling methodologies.

  • Understands the technology landscape, up to date on current technology trends and new technology, brings new ideas to the team.

  • Experience of different techniques used for database / application performance tunning

  • Comfortable writing code in python, shell scripting, sql . Comfortable working on Linux environment

  • Experience working with AWS cloud data services & knowledge on cloud security – AWS Services like IAM, EC2, ECS, DMS, S3, Redshift, Quicksight, RDS etc

  • ​Experience in Data Visualisation tools such as Tableau, Quciksight

  • Exposure to industry standard data modeling tools (e.g., ERWin, ER Studio, etc.)

  • Exposure to Extract, Transform & Load (ETL) tools like Informatica or Talend

  • Exposure to unstructured datasets and ability to handle XML, JSON file formats

  • Conduct exploratory data analysis and generate visual summaries of data. Identify data quality issues proactively.

  • Exposure to Machine Learning models / algorithms will be a plus.

Education Qualification

  • Bachelor's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) with advanced experience.

  • Minimum of 5 years of experience in Software Development in Data Engineering pace

Domain Expertise:

  • Exposure to handling machine or sensor datasets from industrial businesses

  • Knowledge of for industrial applications in a commercial/finance/industrial/manufacturing settings.

Leadership Skills:

  • Ability to work effectively with multi-disciplinary teams (e.g., UX, GE Business teams) and understand the inter-dependencies between them.

  • Ability to showcase teamwork skills to achieve common goals, provide resolutions and share ideas.

  • Demonstrate the presentation and influencing skills

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.

Additional Information

Relocation Assistance Provided: Yes

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