Sr Data Engineer 1
Perform activities relating to designing, building, testing, implementing, and maintaining solutions, products, and processes under the guidance of a Principal Data Engineer or Manager. May coordinate tasks for other team members.
Position may be required to work extended hours, including 24 x 7 coverage during storms or other energy delivery emergencies.
Primary Duties:
- Perform, document, and assist in planning work activities relating to projects, sub-projects, or processes. For Projects: analyze requirements, design, build, and test IT software solutions in accordance with IT project management standards. For operations/application maintenance: enhance, maintain, or support existing IT products and processes to the defined service level agreement (45%)
- Support the creation of documentation for products and services. Use best practices to improve products and services provided to business unit partners, and monitor adherence within Team/Group to standards as defined within the Management Model (15%)
- Maintain and enhance engagement with business and IT partners and other stakeholders (15%)
- Establish positive team environment by assisting and training less experienced personnel. (15%)
- Proactively build technical knowledge and business acumen within own discipline or function. (10%)
- Solves complex problems, inclusive of partner with vendors and other IT professionals to do so.
- Assists in developing workplans for the phase with limited review. Identifies unexpected problems and resolves with limited assistance.
- Performs this service in support of Exelon Utility Analytics.
- Designs, implements, and enforces security policies and controls that protect systems and data from access by unauthorized users. Performs analyses of data security systems to keep management informed of system utilization patterns; prepares reports on same.
- Can make informed decisions on monitoring settings such as sample size, level of criticality, and some self-healing opportunities.
- Drives innovation process with regular evaluation and application of lessons learned while implementing innovative improvements for future tasks.
- Works under limited supervision.
- Bachelor's degree in computer science or related discipline and 4-7 years' relevant experience in data warehouse design, business intelligence reporting and ETL/TLT processing or 6-9 equivalent combination of education and work experience.
- Demonstrates in-depth knowledge of the Big Data technology and its impact on the systems infrastructure of the company.
- Experience implementing enterprise-wide data standards, including business definitions and naming standards.
- Experience participating in interviews of users as part of a systems development team to gather information for analysis or technical work.
- Ability to use PowerShell, Ansible, or another appropriate scripting tool to automate common tasks/create reports and troubleshoot issues with existing scripts.
- Strong understanding of how the System Development Life Cycle phase fits into the overall development lifecycle.
- Demonstrates a high proficiency for disseminating information to users, management, customers and others who have limited knowledge of the subject.
- Demonstrates a thorough understanding of the effective use of a variety of tools in complex applications.
- Solid understanding of the capabilities of standard monitoring tools.
- Possess knowledge in cloud technologies Capable of leading multiple ongoing projects and ensuring timely delivery.
- Comprehensive understanding of ETL and data warehouse concepts.
- Prior experience in the Azure cloud platform and its applications.
- Experience in Databricks technologies with Databricks warehouse expertise.
- Experience in ODI, IDMC, ADF, Synapse.
- Familiarity on Oracle Golden Gate, cosmos DB, Hyperscale DB Experience with big data technologies such as Spark.
- Experienced in data cleaning, preprocessing, and transforming data into readable formats for analysis.
- Optimizing techniques for different data Format (SCD1,2, Parquet, GIS, Timeseries)
- Demonstrates an insight how work contributes to the bottom line.
- Ability to build and maintain knowledge of new technologies or technology opportunities and assists in development of analysis of their use for business and/or IT clients.
- Detailed knowledge of the data architecture of the systems which support more than one core business area.
- Proficiency to successfully demonstrate data management and data interpretation in practical applications of moderate difficulty.
- Ability to leverage alternative perspectives and emerging technologies to deliver creative solutions and able to contribute to writing white papers.
- Demonstrated ability to build and maintain relationships with a high degree of competency to synthesize what a business partner is asking for.
- Annual salary will vary based on a candidate’s skills, qualifications, experience, and other factors: $104,800.00/Yr. – $144,100.00/Yr.
- Annual Bonus for eligible positions: 15%
- 401(k) match and annual company contribution
- Medical, dental and vision insurance
- Life and disability insurance
- Generous paid time off options, including vacation, sick time, floating and fixed holidays, maternity leave and bonding/primary caregiver leave or parental leave
- Employee Assistance Program and resources for mental and emotional support
- Wellbeing programs such as tuition reimbursement, adoption and surrogacy assistance and fitness reimbursement
- Referral bonus program
- And much more
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