Data Engineer/Modeler
Job Description
Job Title: Data Engineer/Modeler
Job Number: 22164
Type of Employment: Permanent Role
Overture Partners client has an exciting opportunity for a Data Engineer/Modeler to work with an industry leader in a fully remote role. The ideal candidate must have excellent communication and collaboration skills.
Opportunity Overview:
Qualifications & Required Skills
Bachelor’s degree in data management, computer science, information systems, mathematics, data/analytics or a related field or equivalent work experience is required.
Job Number: 22164
Type of Employment: Permanent Role
Overture Partners client has an exciting opportunity for a Data Engineer/Modeler to work with an industry leader in a fully remote role. The ideal candidate must have excellent communication and collaboration skills.
Opportunity Overview:
- Advocate for well founded data management practices to foster a better understanding of data and analytics.
- Responsible for definition, development and execution of strategies to implement and enhance data ecosystem.
- Interact with stakeholders and subject matter experts to determine project requirements that align with business goals
- Partner with colleagues and relevant subject matter experts on analytical solutions and models to ensure optimization of data quality, security to deploy them production
- Prioritize, scope and manage data engineering projects.
- Discover, understand, and integrate new internal and external data sources, structures, and process pipelines.
- Drive and participate in all tasks associated with design, development, implementation, and support of ETL/ELT processes
- Implement data structures on a variety of databases and platforms, including data lakes, data warehouses, online caches and near-time systems, SQL Server, Oracle, Teradata, Redshift, MongoDB, DynamoDB, and Snowflake.
- Perform various data modeling methodologies like relational 3rd normal form, star schema, snowflake schema, schema-on-read, data vault, etc. to design and implement data models.
- Architect, implement, optimize and maintain reliable data pipelines from source acquisition to integration and consumption while guaranteeing compliance with data governance and data security requirements.
- Use cutting edge tools and methodologies/architectures to automate repeatable tasks to improve productive and limit errors
Qualifications & Required Skills
- Proven experience with data management disciplines.
- Experience with data integration, data modeling, optimization and data quality that is commensurate with job level.
- Working knowledge of data discovery, analytics, visualization and business intelligence tools.
- Strong experience with scripting languages such as Python, PowerShell, and Linux.
- Understanding of at least one formal programming language Java, or C++.
- Basic understanding of ETL/ELT platforms such a SSIS, DataStage or Informatica.
- Thorough knowledge of relational and non-relational database theory and structured query language (SQL).
- Ability to design, build and optimize data pipelines, ETL processes, and data structures.
- Demonstrated success integrating large, heterogeneous datasets and automating repetitive data preparation tasks.
- Skilled working across multiple deployment environments including cloud, on-premises and hybrid.
- Adept applying software engineering methodologies and DevOps principles to data pipelines to improve the communication, integration, reuse and automation of data flows across the organization.
Bachelor’s degree in data management, computer science, information systems, mathematics, data/analytics or a related field or equivalent work experience is required.
Application Instructions
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