GE POWER INDIA Hiring Data Engineer Job In India salary Upto Rs.3,60,000-6,25,000/year Apply Online

Company:	GE POWER INDIA
Job Role:	Data Engineer
Experience:	(2+years):
Vacancy:	10+
Qualification:	Bachelor degree In Engineering computer Science/Information Technology or related field
Salary:	Upto Rs.3,60,000-6,25,000/year
Location:	Bengalore India
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Apply Mode:	(Online)
Deadline:	Not Mentioned

About the Company:

Job Description:

• 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

Education Qualification

• Bachelor's Degree in Engineering, IT, Computer Science, or related field from an accredited university

Desired Characteristics

• Preference will be given to current GE Employees or have completed a GE Internship

Technical Expertise:

• 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 settings.
• 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

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