Job Description

We are seeking a skilled Data Warehouse Development Engineer to join our team. The ideal candidate will be responsible for designing, developing, and maintaining our data warehouse infrastructure to support business intelligence and analytics initiatives. You will work closely with cross-functional teams to understand business requirements and translate them into effective data solutions.

Key Responsibilities

Conduct business data research, requirement understanding, and analysis
Establish data models and design data themes based on business needs
Write ETL processes for data models and participate in team ETL process optimization
Solve ETL-related technical problems and improve data processing efficiency
Understand business-side data requirements and provide business-oriented data services (OLAP, reports, data extraction)
Develop data governance standards and establish processes for data analysis work
Manage data platform operations including data standardization, metadata management, and data quality management
Participate in the design and review of data products
Improve data quality monitoring systems and ensure SLA compliance for data warehouse indicators
Support business data requirements and problem-solving to enhance platform capabilities

Job Requirements

Bachelor's degree in Computer Science, Information Systems, or related field
3+ years of experience in data warehouse development and ETL processes
Strong proficiency in SQL and experience with data modeling techniques
Experience with data governance, metadata management, and data quality frameworks
Knowledge of OLAP technologies and business intelligence tools
Familiarity with big data technologies (Hadoop, Spark, etc.) is a plus
Excellent problem-solving skills and ability to work in a team environment
Strong communication skills to collaborate with business stakeholders
Ability to optimize data processes based on user experience and performance metrics

Preferred Qualifications

Experience with cloud-based data warehouse solutions (AWS Redshift, Snowflake, etc.)
Knowledge of data visualization tools (Tableau, Power BI, etc.)
Understanding of machine learning concepts and their application in data analytics
Certification in relevant data management or business intelligence technologies

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AI Job Analysis

Intelligent Job Recommendations Based on Deep Learning

Ready for Analysis

Analyze Job Core Requirements

This Data Warehouse Development Engineer position at OURBIT requires a strong foundation in data infrastructure development, with a focus on ETL processes and data modeling to support business intelligence. Candidates must possess extensive experience in building and maintaining data warehouses, ensuring high efficiency and data quality.

3+ years of experience in data warehouse development and ETL processes
Strong proficiency in SQL and data modeling techniques
Experience with data governance, metadata management, and data quality frameworks
Knowledge of OLAP technologies and business intelligence tools
Familiarity with big data technologies or cloud-based data warehouses

Understand Employer Recruitment Intent

Considering the employer name OURBIT, which likely represents a technology-driven company focused on innovation and data-centric operations, the recruitment intent for this Data Engineer role is to find a candidate who can build and optimize scalable data warehouse infrastructure to fuel business intelligence and analytics. The job emphasizes ETL processes, data governance, and BI integration, suggesting OURBIT is likely in a growth-oriented industry such as e-commerce, fintech, or SaaS, where data-driven decision-making is critical. They seek not just technical skills but also the ability to translate business requirements into effective data solutions, indicating a need for someone who can enhance operational efficiency and support strategic initiatives through robust data systems.

MyJob Interviewer Says

Interviewers at OURBIT will focus on assessing candidates' technical expertise in data warehouse development, ETL optimization, and data modeling, as well as their problem-solving skills and ability to collaborate with cross-functional teams. Key evaluation points include proficiency in SQL, experience with data governance frameworks, and familiarity with tools like OLAP or BI platforms. They may also probe for evidence of handling complex technical issues and improving data processing efficiency, as these align with OURBIT's likely emphasis on innovation and high performance in a competitive tech environment.

AI Matching Suggestions

For job seekers targeting this Data Engineer role at OURBIT, optimize your resume and interview preparation by aligning with the job requirements and emphasizing skills in data warehouse development and ETL processes.

Highlight specific experience with SQL, data modeling, and ETL tools in your resume, using keywords from the job description such as 'data governance' and 'OLAP technologies'.
Tailor your resume to showcase projects involving data warehouse optimization or big data technologies, demonstrating how they improved efficiency or data quality.
Prepare for technical interviews by reviewing SQL queries, ETL process designs, and case studies on data governance, as these are core to the role.
Emphasize collaboration and communication skills in your responses, as the job requires working with business teams, and tailor examples to highlight achievements that align with OURBIT's likely focus on scalable data solutions.

Data Engineer at OURBIT

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