Data Engineer

3 weeks ago

Burbank, United States CareerBuilder Full time

The Data Engineer will work within VestisIT department and is responsible for supporting the data integration needs of Enterprise Data Warehouse, Data Lakes, and other integration solutions. The role of the Data Engineer is responsible for building and maintaining optimized and highly available data and analytics layer that facilitates deeper analysis and reporting to business consumers. Data Engineer will design robust and scalable data integration solutions based on industry best practices. The candidate must have a strong hands-on experience working in big data, and data warehouse environment.

Responsibilities/Essential Functions:

Design, implement, and continuously improve data analytics platform

Implement optimized and simplify data query and analysis capabilities of the data platform

Develop and improve the current architecture, emphasizing data security, data quality and timeliness, scalability, and extensibility

Deploy and apply big data solution and run pilots to design highly performing and low latency data architectures to scale

Collaborate with cross functional team and develop, implement, and validate KPIs, statistical analyses, data profiling, prediction, forecasting, clustering, and machine learning algorithms

Leverage best practices, disciplined approaches, and standards to solving technical problems.

Perform ongoing monitoring, optimization, and refinement of reports and BI solutions

The role entails 100% hands-on development using MS SQL / Python on MS Azure Synapse Platform

Build data solutions with efficiency in handling data - tracking data lineage, ensuring data quality, and improving discoverability of data.

Develop big data analytics solutions sourcing data fromdistributed systems and applications

Ensuring accurate and efficient governance policy development and adherence

Report on statuses when requested

Submit all time and expense reporting procedures accurately and timely

Maintain good standing and completion on all compliance related matters (i.e., assigned mandatory trainings, actions required from audits, corporate policies, etc.)

Perform all additional duties and responsibilities based on the direction and guidance of supervisor

Knowledge/Skills/Abilities:

Expertise in ELT optimization, designing, coding, and tuning big data processes using Microsoft Azure Synapse or similar technologies.

Experience with building data pipelines and analytics solution to stream and process datasets at low latencies.

Knowledge of Data Engineering and Data Operational Excellence using standard methodologies.

Hands on level skills coding and optimizing complex SQL and Python

Strong Knowledge of data warehousing frameworks and methodologies.

Proven ability to foresee opportunities to innovate and leads the way

Excellent verbal and written communication

Proven interpersonal skills and ability to convey key insights from complex analyses in summarized business terms

Ability to effectively communicate with technical and non-technical teams

Ability to work with shifting deadlines in a fast-paced environment Skilled and proficient in MS Office O365 suite (i.e. Word, PowerPoint, Excel, SharePoint, Teams, Communications Tools, etc.)

Ability to operate with a customer-centric service approach

Working Environment/Safety Requirements:

Ensure necessary working environment and capabilities to effectively carry out responsibilities if working from a non-AUS location (remote work)

Ability and willingness to handle work related issues during all hours of the day, every day of the week, understanding the responsibility of our organization's requirement for 24/7 production support

Ability, willingness, and flexibility to travel as needed for approved work purposes in accordance with project and management schedules

Experience/Qualifications:

Bachelor's degree in Computer Science, Mathematics, Statisticsor related field or 6+ years relevant experience

Experience in data mining, profiling, and analysis

Experience in Azure Data Factory

Experience with complex data modelling, ELT design, and using large databases in a business environment

5+ years experience with languages like SQL, Python, Java, or similar language

Must have at least three years of work experience in Big Data projects such as Microsoft Azure Synapseor similar Big Data platform a must

License Requirements/Certifications:

Valid U.S. driver license (for rental cars when applicable)

Be legally able to work in the United States: U.S. Citizen or Legal Resident

Benefits: Vestis offers a wide array of comprehensive benefit programs and services including medical, dental, vision, short and long-term disability, basic life insurance, and paid parental leave. Employees are able to enroll in the company's 401k plan. Employees are eligible for 120 hours of vacation, 16 hours of floating holidays, and paid sick time every year. Employees will also receive 9 paid holidays throughout the calendar year.

Compensation: The salary rate for this position ranges from $95K-115K, depending on circumstances including an applicant's skills and qualifications, certain degrees and certifications, prior job experience, market data, and other relevant factors.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)
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