Job Description

Summary Responsible for developing, testing and implementing data engineering solutions to generate analytical and reporting solutions. Responsible for analyzing and preparing the data needed for data science based outcomes. Also responsible for managing and maintaining metadata data structures besides providing necessary support for post-deployment related activities when needed.



Roles and Responsibilities

In this role, you will:

Leverage technical data dictionaries and business glossaries to analyze the datasets

Perform data profiling and data analysis for any source systems and the target data repositories

Understand metadata and the underlying data structures needed to standardize the data load processes.

Develop 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

Validate the data mapping results and match with the expected results Implement Data Quality (DQ) rules provided

Qualifications-

Bachelor\'s Degree in with basic experience of 3-7 years in related area.

Ability to understand logical and physical data models, big data storage architecture, data modeling methodologies, metadata management, master data management & data lineage techniques

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

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

Experience in handling both Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) data models

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

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

Domain Expertise:

Exposure to handling machine or sensor datasets from industrial businesses

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

Exposure to finance and accounting data domains

Leadership 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.

This is intended to provide a high-level guide to the role. However, it is not intended to amend or otherwise restrict/expand the duties required from each individual employee as set out in their respective employment contract and/or as otherwise agreed between an employee and their manager.

Additional Information

Relocation Assistance Provided: No

General Electric