Junior Data Engineer (Data Specialist)

Career Area:

Job Description:

Your Work Shapes the World at Caterpillar Inc.

When you join Caterpillar yourejoining a global team who cares not just about the work we do but also about each other. We are the makers problem solvers and future world builders who are creating stronger more sustainable communities. We dontjust talk about progress and innovation here we make it happen with our customers where we work and live. Together we are building a better world so we can all enjoy living in it.

Your Work Shapes the World at Caterpillar Inc.

When you join Caterpillar youre joining a global team who cares not just about the work we do but also about each other. We are the makers problem solvers and future world builders who are creating stronger more sustainable communities. We dont just talk about progress and innovation here we make it happen with our customers where we work and live. Together we are building a better world so we can all enjoy living in it.

Job Summary

We are seeking a highly motivated and detail-oriented Junior Data Engineer (Data Specialist) to join our dynamic team. The ideal candidate will have a good foundation in data engineering principles a keen analytical mindset and the ability to work collaboratively in a fast-paced environment. As a Junior Data Engineer you will play a critical role in designing developing and maintaining data pipelines and infrastructure to support our organizations data join our Financial Systems Tech Support -CAT IT Division.

The preference for this role is to be based out of Whitefield PSN Bangalore office

What you will do

Data Pipeline Development
Design develop and maintain scalable and reliable data pipelines to ingest process and store large volumes of data from various sources.
Implement data workflows using ETL (Extract Transform Load) processes to ensure data quality and integrity.
Data Integration and Management
Collaborate with data architects product owners business analysts and other stakeholders to understand data requirements and deliver data solutions that meet their needs.
Integrate data from multiple sources including databases APIs and external data providers into a unified data platform.
Manage and optimize data storage solutions ensuring efficient data retrieval and processing.
Data Quality and Governance
Implement data quality checks and validation processes to ensure the accuracy and consistency of data.
Adhere to data governance policies and best practices to maintain data security and compliance.
Performance Optimization
Monitor and optimize data pipeline performance to ensure timely and efficient data processing.
Identify and resolve performance bottlenecks and system issues to maintain data pipeline reliability.
Documentation and Collaboration
Document data engineering processes workflows and solutions for future reference and knowledge sharing.
Collaborate with cross-functional teams to support data-driven decision-making and project initiatives.

What you will get

• Bachelors degree in computer science Information Technology Data Science or a related field.
• 3-4 years of experience in data engineering data analysis or software development.

Technical Skills

• Strong experience on advanced SQL any Database. (Oracle Teradata snowflake).
• Experience in data integration area and hands on experience in any of the ETL tools like Datastage Informatica Snaplogic etc
• Able to transform technical requirements into data collection query.
• Should be capable of working with business and other IT teams and convert the requirements into queries.
• Good understanding of ETL architecture and design.
• Good knowledge in Databases SQL or PL/SQL
• Good experience with CI/CD tools such as Github Actions (AzDO pipelines)
• Good to have knowledge on Unix commands
• Good to have an experience on AWS Glue
• Good to have knowledge on Qlik replication tool
• This position requires the candidate to work a 5-day-a-week schedule in the office
• Shift Timing 01:00-10:00PM IST

Soft Skills

Good analytical and problem-solving skills with attention to detail.

• Excellent communication and interpersonal skills to collaborate effectively with cross-functional teams.
  
• Ability to manage multiple tasks and prioritize workload in a fast-paced environment.
  
• Eagerness to learn new technologies and stay updated with industry trends.

Skills desired:

Value Realization: Knowledge of value realization methods; ability to plan execute monitor and manage business activities and resources to determine and achieve the actual value from a business initiative as estimated in an associated business case.
Level Basic Understanding:
Describes the importance of Value Realization milestones for long-term projects.
Assists in measuring and attaining post-project implementation value.
Identifies process changes or business value integration in change initiative plans and activities.
Contributes to project team communication regarding the linkage of a change initiative to its associated business goals and case.

Communicating Complex Concepts: Knowledge of effective presentation tools and techniques to ensure clear understanding; ability to use summarization and simplification techniques to explain complex technical concepts in simple clear language appropriate to the audience.
Level Working Knowledge:
Uses comparisons to familiar ideas when introducing a technical or novel feature.
Separates fundamental concepts from supporting details in explaining a product or service.
Explains products and services with little or no use of technical jargon or advanced vocabulary.
Emphasizes the most important facts or features of a product or service.
Perceives lack of audience comprehension; further simplifies explanation when needed.

Agile Development: Knowledge of agile methodologies and the agile development lifecycle; ability to utilize formal agile methodologies disciplines practices and techniques for the delivery of new and enhanced applications.
Level Working Knowledge:
Explains a specific agile process and its associated checkpoints and deliverables.
Works with a specific agile development methodology.
Interprets metrics used to measure progress and effectiveness.
Defines key selection and qualifying criteria for projects suitable for agile development.
Applies major tools and techniques associated with the specific methodology.

Cloud Computing: Knowledge of the concepts technologies and services of cloud computing; ability to design deploy and implement cloud computing solutions in various business environment.
Level Working Knowledge:
Works with a specific cloud service model such as Infrastructure as a Service (IaaS) or Software as a Service (SaaS).
Follows established procedures in defining client requirements for cloud services.
Implements a specific cloud service model such as Infrastructure as a Service (IaaS) Software as a Service (SaaS) or Serverless computing.
Carries out tasks under supervision to increase capacity or add capabilities through cloud computing.
Documents and resolves basic problems related to cloud security.

Database Design (Physical): Knowledge of database systems; ability to establish a data model for designing an organizations database that runs effectively and efficiently for better business outcome.
Level Working Knowledge:
Researches relationships between different business data sets.
Participates in the establishment of data structures based on their relationships.
Adheres to an organizations database design policies.
Utilizes database design tools and techniques.
Tests the effectiveness of the database before its release for business use.

ETL Process: Knowledge of the extraction transformation and loading (ETL) process; ability to develop a database through the ETL process.
Level Working Knowledge:
Ensures the accuracy and effectiveness of data provided for the warehouse.
Loads selected data into the warehouse on a regular basis.
Derives necessary business or technical information from original data.
Acquires a large amount of data from different sources/systems.
Solves technical and administrative problems during the ETL process.

Information Management: Knowledge of an organizations existing and planned Information Architecture and Information Management (IM) methodology; ability to collect and manage information from different sources and distribute this information to enhance operational efficiency.
Level Working Knowledge:
Assists in the installation configuration and support of information management software.
Participates in developing back-up recovery and archival practices and procedures.
Analyzes issues and requirements for managing information resources.
Follows organizational guidelines and policies on information management.
Makes recommendations for enhancements to centralized and distributed databases.

Modeling: Data Process Events Objects: Knowledge of data process and events; ability to use tools and techniques for analyzing and documenting logical relationships among data processes or events.
Level Working Knowledge:
Defines common types of data processes or event models.
Participates in model reviews and walkthroughs.
Explains existing models to clients and describes their associated business processes.
Focuses on modifying Data Structure Access and Entity Relationship Diagrams.
Prepares reports to recap current findings and issues in data processes or event models.

What you will get:

• Work Life Harmony
• Earned and medical leave.
• Relocation assistance

Holistic Development

• Personal and professional development through Caterpillar s employee resource groups across the globe
• Career developments opportunities with global prospects

Health and Wellness

• Medical coverage -Medical life and personal accident coverage
• Employee mental wellness assistance program

Financial Wellness

• Employee investment plan
• Pay for performance -Annual incentive Bonus plan.

Posting Dates:

Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply

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