Offer summary

Qualifications:

Bachelor's degree in Computer Science, Information Systems, or a related field., At least 5 years of experience in data warehousing and business intelligence., Minimum of 3 years of SQL query development across multiple database platforms., Proficiency in ETL/ELT tools such as Informatica IICS and PowerCenter, with some experience in cloud-based database technologies..

Key responsibilities:

Develop and support ETL/ELT workflows and data pipelines.

Collaborate with data analysts and architects to translate data requirements into technical solutions.

Perform data quality analysis and support data management initiatives.

Provide production support and contribute to architectural decisions for data systems.

Job description

We are embarking on the modernization of our core data platforms. We are currently seeking a Data Movement Engineer who can assist us with modernizing our current ETL environment, as well as begin building new ETL/ELT workflows and data pipelines as we move towards a cloud environment. The Data Movement Engineer will support our data architects, data analysts, and business intelligence developers on various data initiatives. They must be self-directed and comfortable supporting the data requirements of multiple teams and systems. The ideal candidate will also possess experience in the data management domain and be willing to contribute their technical skills and experience towards the development of elegant and efficient data processes and systems.

Core Responsibilities

Complete full life cycle of ETL/ELT development to address business needs or resolve issues including design, mappings, data transformations, scheduling and testing.
Translate data movement requirements into technical designs.
Develop ETL/ELT workflows, mappings, and data pipelines to extract, transform, and load data into target environments.
Develop data extraction and transmission to external vendors.
Develop test plans and perform unit testing.
Create supporting documentation for new processes.
Work closely with data analysts to gain an understanding of business processes and corporate data.
Determine impacts to data warehouse structures and information flows due to changes in business or technical requirements.
Contribute to architectural decisions to support business processes.
Provide production support for data solutions.
Complete root cause analysis and contribute to remediation planning and implementation.
Perform data quality analysis, report data quality issues and propose solutions for data quality management.
Learn and expand upon internal controls and participate in customer support.
Prepare effort estimation including researching and estimating costs of software development, unit testing. May provide estimates for upgrades of vendor packages upgrades and integration with existing systems.
On Call and/or after hours work required.
Other related duties as directed.

Skills Qualifications
Required:

Minimum of 5 years of relevant experience in data warehousing, business intelligence tools, and the analysis of data
Minimum of 3 years of SQL query development, preferably in multiple database management platforms, and working with normalized relational databases and dimensional data warehouse implementations
Proficiency in ETL/ELT concepts and tools (Informatica IICS and PowerCenter preferred)
Some experience with cloud-based database technologies is required
Working knowledge of data warehousing concepts, structures and ETL best practices
Experience using query tools (e.g. AQT, MS Query)
Ability to problem solve using analytical thinking skills
Must work well independently - must be inquisitive and seek answers to complex questions without being prompted
Strong organizational and time management skills
Strong communication skills including verbal and written to communicate effectively with clients and management
Strong project management skills to ensure that projects get done on time and within budget
Effectively participates in teams and moves the team toward completion of goals Preferred:
Some experience with data visualization tools (e.g. Tableau) is desirable