BENGALURU · FULLTIME
SOFTWARE ENGINEER - DATA ENGINEERING
Caterpillar Inc
Bengaluru · onsite · Posted 63d ago
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Undisclosed5–8 yrsfulltimeBengaluru
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Section · 01
About this role
Job Summary
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Career Area: Technology, Digital and Data
We are looking for a highly motivated and experienced Data Engineer to join our data engineering team. The ideal candidate will have a strong background in building scalable data pipelines using the AWS cloud stack and extensive hands-on experience with Snowflake. Proficiency in Python and SQL, along with graph and vector database technologies, is essential. This role requires strong problem-solving abilities and a proactive mindset to deliver efficient, scalable, and reliable data solutions.
This position requires working onsite five days a week.
Relocation is available for this position.
Key Responsibilities - Design, develop, and maintain scalable data pipelines on AWS using services such as S3, Glue, Lambda, Redshift, and EMR.
- Build and optimize data warehousing solutions using Snowflake, including performance tuning and data modeling.
- Write efficient and reusable code in Python and SQL for data transformation and processing.
- Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements.
- Monitor, troubleshoot, and improve pipeline performance and reliability.
- Ensure data quality, integrity, and security across all stages of the pipeline.
- Participate in code reviews, architecture discussions, and continuous improvement initiatives.
- 5-8 years of experience in data engineering or related roles.
- Strong hands-on experience with AWS cloud services, including data and AI workloads.
- Deep understanding of Snowflake architecture, performance tuning, and best practices.
- Advanced proficiency in Python and SQL for data pipelines, transformations, and services.
- Strong understanding of graph and vector data modelling concepts and their practical applications.
- Experience developing and operating CI/CD pipelines (GitHub Actions) and cloud native deployments.
- Experience working with Azure DevOps (AzDO) boards for backlog management in Agile environments.
- Excellent analytical and problem-solving skills.
- Strong communication and collaboration abilities.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Knowledge of the NVIDIA ecosystem and its applications in data and AI.
- Hands-on experience with Vector (Milvus or similar) and Graph (Neo4J or similar) databases.
- Experience with orchestration tools such as AWS Step Functions.
- Familiarity with data governance and compliance practices.
- Exposure to real-time data processing frameworks (e.g., Kafka, Spark Streaming).
Bangalore, Karnataka; Chennai, Tamil Nadu
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Section · 02
Skills
GithubAzure DevopsApache SparkApache KafkaPerformance Tuningcloud servicescdamazon web servicestransformationNeo4JVectorData EngineeringPythonSQLCommunication SkillsArchitectureSnowflakeData PipelineCi/Cd
Section · Company
About Caterpillar Inc
Caterpillar Inc
Industrial Machinery
7.3k+
employees
1925
101 years old
Bangalore / Bengaluru, Karnataka
India
₹14L PA avg
Avg at Caterpillar Inc
About
Caterpillar Inc is a global leader in manufacturing construction and mining equipment, engines, and turbines, addressing industry needs for efficient, sustainable solutions.
Industries
Industrial MachineryEngineering & Construction
Employee ratings
10 reviews
4.1/ 5
Culture
3.7
Career growth
3.1
Work-life
3.6
Employees rate it well for
Company Culture41Work-Life Balance41
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