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Applied Materials
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Software Engineer

Software Engineer

Applied Materials

2 - 5 years

6 - 10 Lacs

bengaluru

Posted:3 days ago| Platform:

Apply

Skills Required

python elt data engineering sql etl continuous integration snowflake amazon redshift version control data processing airflow ci/cd power bi tableau data architecture principles git data modeling spark hadoop bigquery data integration

Work Mode

Work from Office

Job Type

Full Time

Job Description

Key Responsibilities
:

Design, develop, and maintain scalable data pipelines using modern ETL/ELT tools and frameworks

Implement efficient data models and warehousing solutions to support business intelligence initiatives

Write high-quality, documented code for data integration, transformation, and automation

Design and optimize database schemas and query performance

Develop and maintain data quality monitoring systems and procedures

Implement data governance practices and ensure data security compliance

Troubleshoot complex data pipeline issues and performance bottlenecks

Collaborate with stakeholders to gather requirements and translate them into technical specifications

Create and maintain documentation for data flows, models, and processes

Build reusable code and libraries for future use

Technical Skills Required:

Strong programming skills in Python, SQL, and data processing frameworks

Experience with modern data warehouse platforms (Snowflake, Redshift, BigQuery)

Proficiency in ETL/ELT tools (Apache Airflow, dbt, or similar)

Knowledge of big data technologies (Spark, Hadoop ecosystem)

Experience with version control systems (Git) and CI/CD practices

Understanding of data modeling concepts and best practices

Familiarity with business intelligence tools (Tableau, Power BI, or similar)

Demonstrates conceptual and practical expertise in data engineering and basic knowledge of related disciplines

Strong understanding of data architecture principles and best practices

Business Expertise:

Has knowledge of data integration best practices and how they integrate with other systems

Understands business requirements and can translate them into technical solutions

Awareness of industry trends in data engineering and analytics

Leadership:

Acts as a resource for colleagues with less experience

May lead small to medium-sized data projects

Mentors junior team members on data engineering practices

Problem Solving:

Solves complex data integration and pipeline problems

Takes a new perspective on existing solutions

Exercises judgment based on the analysis of multiple sources of information

Optimizes data flows and improves system performance

Impact:

Impacts data-driven decision making across the organization

Influences data architecture and engineering practices

Works within broad guidelines and policies to implement robust data solutions

Interpersonal
Skills:

Explains technical concepts and data solutions to non-technical stakeholders

Works to build consensus across teams

Collaborates effectively with cross-functional teams

Communicates data quality and pipeline issues clearly

Additional Information
Time Type:
Full timeEmployee Type:
Assignee / RegularTravel:
Yes, 10% of the TimeRelocation Eligible:
Yes

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Software Engineer