Data Engineer
WFA Digital Insight
As demand for skilled data engineers continues to rise, with a 25% increase in job postings over the past year, professionals with expertise in data pipeline development and governance are in high demand. The Planet Group's Data Engineer role stands out for its emphasis on innovative data solutions and collaboration with top-tier clients across the US. With the shift to remote work, candidates can capitalize on the flexibility and growth opportunities this role offers, but should be prepared to demonstrate expertise in Azure services, data warehouses, and DevOps activities. Knowing the current market, where data engineering skills are prized, candidates should be ready to showcase their proficiency and adaptability.
Job Description
About the Role
The Data Engineer role at The Planet Group is a pivotal position focused on designing, developing, and maintaining large-scale data systems. This includes creating data models, building data pipelines, and ensuring the integrity and efficiency of these systems. Day-to-day tasks involve working closely with relational databases, including schema design, queries, and performance optimization, as well as conducting DevOps activities like code reviews and testing. This role is critical in supporting the company's data-driven decision-making processes and requires a deep understanding of data governance and master data management principles.The successful candidate will be part of a dynamic team that values collaboration and innovation. The team environment is fast-paced and requires the ability to work independently as well as contribute to group efforts. Given the remote nature of the job, excellent communication skills and the ability to work effectively in a distributed team are essential.
What You Will Do
- Design, develop, and maintain large-scale data models and data pipelines
- Work with relational databases, including schema design, queries, views, stored procedures, and performance optimization
- Conduct data governance and master data management tasks
- Build and execute ETL/ELT processes to integrate data between different sources
- Develop and manage data warehouses using ETL/ELT, SQL, Data Lake, Spark, Azure Synapse, and Databricks
- Collaborate with the DevOps team on code reviews, testing, alerting, and documenting
- Utilize Azure's core data and analysis services, including Data Factory, Synapse Analytics, Data Explorer, and Power BI
- Participate in retrospectives and incident analysis to improve data systems
- Ensure compliance with data security and privacy regulations
- Develop and maintain technical documentation of data systems and processes
- Collaborate with cross-functional teams to identify and prioritize data needs
What We Are Looking For
- Bachelor's degree in Computer Science or a related field
- Coursework in object-oriented programming, system architecture, computer networks, advanced data structures, and computer and network security
- Experience with data modeling, data pipeline development, and data governance
- Strong understanding of relational databases and SQL
- Experience with Azure services, particularly Data Factory, Synapse Analytics, and Power BI
- Knowledge of ETL/ELT processes and data warehouse development
- Familiarity with DevOps practices and tools
- Excellent problem-solving skills and attention to detail
- Strong communication and collaboration skills
Nice to Have
- Experience with cloud-based data platforms
- Knowledge of machine learning or data science principles
- Certification in Azure data services or related technologies
- Experience with data visualization tools beyond Power BI
Benefits and Perks
- Competitive salary package
- Opportunities for professional growth and development
- Flexible remote work arrangement
- Comprehensive health insurance
- Generous paid time off policy
- Access to cutting-edge technologies and tools
- Collaborative and dynamic work environment
- Opportunities for travel and relocation for career advancement
How to Stand Out
- Ensure your resume and portfolio highlight specific experiences with data modeling, pipeline development, and data governance, especially in Azure services.
- Be prepared to discuss your understanding of data security and privacy regulations in interviews.
- Showcasing certifications in Azure data services or related technologies can be a significant plus.
- Practice explaining complex data concepts simply, as strong communication skills are crucial for success in this role.
- Consider creating a personal project that demonstrates your data engineering skills, such as a data visualization dashboard or a simple data pipeline, to stand out from other applicants.
- Research The Planet Group and its clients to understand the types of data challenges you might face and be ready to discuss how your skills can address these needs.
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