Data Engineer - Finance Data Reporting & Analytics

Responsibilities:

• Architect, develop, and maintain robust and scalable data pipelines, ensuring the integrity and availability of data for analysis and reporting.

• Analyze source data to identify patterns, anomalies, and opportunities for data enrichment, ensuring comprehensive understanding for effective data modeling.

• Design and implement data models that support complex financial analysis, integrating Data Quality measures to ensure the accuracy and reliability of data products.

• Perform ongoing data management tasks, including data mapping, standardization, and normalization to facilitate consistent data consumption.

• Engage in research to stay abreast of the latest trends and best practices in data management, big data, AI, and vendor solutions.

• Lead the migration of existing datasets, databases, and codebases to modern and scalable technology stacks.

• Monitor data loads, troubleshoot errors, establish efficient data workflows, and conduct data quality analyses to identify and resolve systemic issues.

• Proactively manage vendor relationships and anticipate changes in data inputs to maintain data product relevance.

• Collaborate with global teams to understand and document data flows, architecture, and functional requirements, ensuring alignment with business objectives.

Qualifications:

• Bachelor’s degree in computer science, Engineering, Mathematics, Physics, or a related field of study.

• 5+ years of experience in Data Engineering with experience in energy commodities or financial services.

• Strong analytics skills with demonstrated attention to detail.

• Superb communication skills and ability to interact with all levels of management.

• Ability to perform under pressure with a high motivation/energy level and manage multiple tasks to established deadlines. Demonstrated successful management of projects

• Demonstrable expertise in programming with a strong command of SQL and Python.

• Proficient with orchestration tools such as Autosys and Airflow, with the ability to design and manage automated data workflows.

• Hands-on experience with modern data transformation tools, including DBT (Data Build Tool), AWS Redshift or other cloud-based data warehouse solution and Airflow, showcasing skills in efficiently transforming and processing large datasets.

• Solid repository management experience, with a deep understanding of CI/CD pipeline processes, version control systems, and best practices in code deployment and integration.

• Knowledgeable in implementing automated testing and Data Quality (DQ) frameworks, ensuring the reliability and integrity of data solutions.

• Experience with cloud-based data warehouse environment with emphasis on managing and optimizing data for reporting and analysis.

• Adept at troubleshooting, optimising data processes, and resolving complex data engineering challenges.

• Familiarity with Business intelligence tools Power BI and Tableau.

• Ability to work effectively in a fast-paced, dynamic and high-intensity environment including open-floor plan if applicable to the position, with timely responsiveness and the ability to work beyond normal business hours when required. 

Employee Programs & Benefits:

CCI offers competitive benefits and programs to support our employees, their families and local communities. These include:

• Competitive comprehensive medical, dental, retirement and life insurance benefits

• Employee assistance & wellness programs

• Parental and family leave policies

• CCI in the Community: Each office has a Charity Committee and as a part of this program employees are allocated 2 days annually to volunteer at the selected charities.

• Charitable contribution match program

• Tuition assistance & reimbursement

• Quarterly Innovation & Collaboration Awards

• Employee discount program, including access to fitness facilities

• Competitive paid time off

• Continued learning opportunities

Visit  https://www.cci.com/careers/life-at-cci/# to learn more!

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