Manager Data Engineer

3 - 8 years

6 - 11 Lacs

Posted:2 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

About GlobalFoundries
Introduction:
The Data Solutions Group is responsible for integrating manufacturing and engineering data out of a high variety of source systems used in the semiconductor engineering and production process. The data warehouse solutions are used in the GLOBALFOUNDRIES Fabs in Dresden, in the US and in Singapore, and the Data Solutions Group is responsible to conceptualize and provide timely, high-quality solutions that address analysis needs of engineers in a leading-edge semiconductor foundry
Your Job :
  • Understand the business case and translate to a holistic a solution involving Ab Initio (Cloud/On-prem) , Python, Data Ingestion and Cloud DB Redshift / Postgres, AWS cloud.
  • PL/SQL development for high volume data sets.
  • Experience in preparing data warehouse design artifacts based on given requirements (ETL framework design, data modeling, source-target-mapping),
  • DB query monitoring for tuning and optimization opportunities
  • Proven experience with large, complex database projects in environments producing high-volume data
  • Demonstrated problem solving skills; familiarity with various root cause analysis methods; experience in documenting identified problems and determined resolutions.
  • Makes recommendations regarding enhancements and/or improvements
  • Provides appropriate consulting, interfacing, and standards relating to database management, and monitors transaction activity and utilization.
  • Performance issues analysis and Tuning
  • Data Warehouse design and development, including logical and physical schema design.
Other Responsibilities:
  • Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs
  • Customer/stakeholder focus. Ability to build strong relationships with Application teams, cross functional IT and global/local IT teams
Required Qualifications :
  • Bachelor or master s degree in information technology, Electrical Engineering or similar relevant fields.
  • Proven experience (3 years minimum) with ETL development, design, performance tuning and optimization,
  • Very good knowledge of data warehouse architecture approaches and trends, and high interest to apply and further develop that knowledge, including understanding of Dimensional Modelling and ERD design approaches,
  • Working Experience in Kubernetes and Docker Administration is added advantage
  • Must have good experience in AWS services, Ab Initio, Big data, Python, Cloud DB RedShift.
  • Good to have exp in PySpark
  • Proven experience with large, complex database projects in environments producing high-volume data,
  • Proficiency in SQL and PL/SQL
  • Experience in preparing data warehouse design artifacts based on given requirements (ETL framework design, data modeling, source-target-mapping),
  • Excellent conceptual abilities pared with very good technical documentation skills, e.g. ability to understand and document complex data flows as part of business / production processes,
  • infrastructure.
  • Familiarity with SDLC concepts and processes
  • A strong candidate for being a great camaraderie builder.
Additional Skill:
  • Experience using and developing on AWS services.
  • Experience in semiconductor industry,
  • Knowledge of Semistructured datasets
  • Experience with reporting data solutions and business intelligence tools
  • Experience in collecting, structuring and summarizing requirements in a data warehouse environment,
  • Knowledge of statistical data analysis and data mining,
  • Experience in test management, test case definition and test processes
Preferred Qualifications:
  • Bachelor or master s degree with Minimum 10 Years relevant Exp along with people manager exposure.
  • Must have exp in AWS Cloud Services , Ab Initio, Python, Cloud DB Redshift / Postgres and Data Ingestion
  • Experience in preparing Data Warehouse design (ETL framework design, data modeling, source-target-mapping)
GlobalFoundries is an equal opportunity employer, cultivating a diverse and inclusive workforce. We believe having a multicultural workplace enhances productivity, efficiency and innovation whilst our employees feel truly respected, valued and heard.
As an affirmative employer, all qualified applicants are considered for employment regardless of age, ethnicity, marital status, citizenship, race, religion, political affiliation, gender, sexual orientation and medical and/or physical abilities.
All offers of employment with GlobalFoundries are conditioned upon the successful completion of background checks, medical screenings as applicable and subject to the respective local laws and regulations.
Information about our benefits you can find here: https: / / gf.com / about-us / careers / opportunities-asia

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Globalfoundries

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