Applied Materials

3 months ago

Senior Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Design and maintain data pipelines, data models, and reporting objects that enable analytics for the IT organization. Build ETL/ELT and integrations from multiple source systems, ensuring data quality and consistency. Create dashboards and KPI-driven insights, partner with IT leaders and data analysts to define requirements, and evaluate new data sources, tools, and technologies to enhance business intelligence capabilities for finance, people, work, and technology.

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Design, develop, and maintain data pipelines that ingest, transform, and integrate data from disparate systems.
•Build and optimize data models supporting data transformations and engineering needs for the IT business.
•Create and deliver data objects and dashboards providing actionable insights into IT performance and efficiency.
•Collaborate with business stakeholders, IT leaders, and data analysts to define data requirements, metrics, and KPIs.
•Ensure data quality, accuracy, and consistency, and research/evaluate new data sources, tools, and technologies.

Travel: Low travel

Key Requirements

•6-8+ years of related experience with a Bachelor's degree in Computer Science (or equivalent).
•Proficiency in SQL and Python, plus familiarity with other programming languages.
•3-5+ years building full-stack data frameworks including ETL/ELT, data analysis, compute/storage, data pipelines, and orchestration.
•Hands-on cloud architecture experience with Azure, GCP, or AWS; plus cloud databases including Databricks, Snowflake, and Redshift.
•Experience with data integration and processing techniques (API/stream/file), DBT with SQL/PySpark and Python, and strong RDBMS/SQL plus NoSQL/big data/Spark and real-time streaming.

Experience:6-8 yearsSemiconductor industryIT business operationsData engineeringBusiness intelligenceETL/ELT

Education:Bachelor's in Computer Science

Skills:Interpersonal skillsCommunication skillsCollaborationData modeling thinkingProblem-solving

Tech Stack:SQLPythonAzureGCPAWSDatabricksSnowflakeRedshiftDBTSQL/PySparkPySparkETL/ELTData pipelinesOrchestrationRDBMSNoSQLBig dataSparkReal-time streamingAPI

Company Brief

Applied Materials

Provides semiconductor manufacturing equipment, services, and software used to build advanced chips and display technologies. Its tools support materials engineering, deposition, etching, inspection, and process control for major electronics manufacturers worldwide.

Industry: Industrial Machinery

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1967

Glassdoor: 3.9

Website LinkedIn Glassdoor

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Applied Materials

3 months ago

Senior Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Design, develop, and maintain data pipelines that ingest, transform, and integrate data from disparate systems.
•Build and optimize data models supporting data transformations and engineering needs for the IT business.
•Create and deliver data objects and dashboards providing actionable insights into IT performance and efficiency.
•Collaborate with business stakeholders, IT leaders, and data analysts to define data requirements, metrics, and KPIs.
•Ensure data quality, accuracy, and consistency, and research/evaluate new data sources, tools, and technologies.

Travel: Low travel

Key Requirements

•6-8+ years of related experience with a Bachelor's degree in Computer Science (or equivalent).
•Proficiency in SQL and Python, plus familiarity with other programming languages.
•3-5+ years building full-stack data frameworks including ETL/ELT, data analysis, compute/storage, data pipelines, and orchestration.
•Hands-on cloud architecture experience with Azure, GCP, or AWS; plus cloud databases including Databricks, Snowflake, and Redshift.
•Experience with data integration and processing techniques (API/stream/file), DBT with SQL/PySpark and Python, and strong RDBMS/SQL plus NoSQL/big data/Spark and real-time streaming.

Experience:6-8 yearsSemiconductor industryIT business operationsData engineeringBusiness intelligenceETL/ELT

Education:Bachelor's in Computer Science

Skills:Interpersonal skillsCommunication skillsCollaborationData modeling thinkingProblem-solving

Tech Stack:SQLPythonAzureGCPAWSDatabricksSnowflakeRedshiftDBTSQL/PySparkPySparkETL/ELTData pipelinesOrchestrationRDBMSNoSQLBig dataSparkReal-time streamingAPI

Company Brief

Applied Materials

Industry: Industrial Machinery

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1967

Glassdoor: 3.9

Website LinkedIn Glassdoor