Full-Time

Data Engineering Manager

Data Solutions Group, Data Warehouse

Posted on 10/31/2025

Deadline 11/29/25
GlobalFoundries

GlobalFoundries

10,001+ employees

Semiconductor foundry delivering specialized chips

No salary listed

Bengaluru, Karnataka, India

In Person

Category
Data & Analytics (2)
,
Required Skills
Kubernetes
Redshift
Python
Data Science
SQL
Postgres
Docker
AWS
Requirements
  • 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
  • Familiarity with SDLC concepts and processes
  • A strong candidate for being a great camaraderie builder.
  • 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
  • Must have exp in AWS Cloud Services , Ab Initio, Python, Cloud DB Redshift / Postgres and Data Ingestion
  • 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)
Responsibilities
  • 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.
  • 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
Desired Qualifications
  • Experience in preparing 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
  • A strong candidate for being a great camaraderie builder.
  • Kubernetes and Docker Administration is added advantage
  • PySpark
  • Data Ingestion

GlobalFoundries is a semiconductor foundry that manufactures chips for a broad range of customers, focusing on feature-rich, reliable technologies for cars, IoT, 5G, and other high-growth markets. It operates by fabricating silicon wafers for customer designs, offering mature, specialized processes rather than chasing the most advanced nodes. This makes it different from peers that prize the latest process nodes; GlobalFoundries emphasizes diversification across a global manufacturing footprint (U.S., Europe, Singapore) and stable supply for essential applications. Its goal is to be a leading supplier of high-volume, specialty manufacturing that enables reliable chips for everyday devices and growing tech markets.

Company Size

10,001+

Company Stage

IPO

Headquarters

Town of Malta, New York

Founded

2009

Simplify Jobs

Simplify's Take

What believers are saying

  • Silicon photonics revenue doubles in 2026, hits $1B run-rate by 2028.
  • AMF acquisition expands photonics, boosts Q1 2026 gross margins 500bps.
  • CHIPS Act awards $1.587B for New York, Vermont fab expansions creating 1,100 jobs.

What critics are saying

  • BIS fines GlobalFoundries $500K for 74 shipments to entity-listed SJ Semiconductor.
  • TSMC erodes market share in 12nm, 16nm automotive nodes with 10-15% cost edge.
  • Singapore export controls block photonics shipments, halts 20-25% data center revenue.

What makes GlobalFoundries unique

  • GlobalFoundries specializes in feature-rich 22FDX for automotive and RF chips.
  • Pivoted in 2018 to halt 7nm, targeting IoT, 5G, and high-growth niches.
  • Deploys silicon photonics stack across New York and Singapore fabs for AI interconnects.

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Benefits

Professional Development Budget

Growth & Insights and Company News

Headcount

6 month growth

1%

1 year growth

1%

2 year growth

1%
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GlobalFoundries is positioning silicon photonics as essential infrastructure for AI data centres, arguing that copper-based connectivity becomes fundamentally limited beyond 200 gigabits per lane. The company says optical interconnects scale more effectively for reach, bandwidth density and energy efficiency as AI systems drive growth in "east-west" machine-to-machine traffic. The chipmaker is deploying a full silicon photonics stack across 200mm and 300mm fabrication facilities in New York and Singapore, with a co-packaged optics facility planned for Malta, New York in 2025. Recent acquisitions of AMF and InfiniLink have expanded its capabilities. Management expects silicon photonics revenue to double in 2026, with a clear path to exceeding $1 billion annual run rate by end-2028. The company estimates its serviceable addressable market will reach approximately $11 billion by 2030.

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