Data Engineer

Data Engineer role at JPS Tech Solutions

• Job Category: Engineer
• Job Type: Onsite
• Job Location: Chicago, Illinois
• Compensation: Depends on Experience
• W2: W2-Contract Only (C2C not considered)

Grant Thornton is a major Audit, Tax, and Advisory Services company offering a broad range of services in strategy and consulting, operations, technology and more across various industries.

• Grant Thornton’s Information Technology (IT) vision and strategy consists of 3 pillars, Application Modernization, AI, and Data. In Data, our vision is to enable data-driven decision‑making by implementing a firm‑wide data strategy that ensures accurate, meaningful reporting and generates actionable insights and opportunities.
• To realize this vision, IT is establishing a Data & Analytics function underneath the Chief Technology Officer. This organization’s goal will be to drive technological innovation, ensure the alignment of technology strategies with business objectives, and enhance the firm’s competitive edge.
• The Data Engineer is responsible for designing, developing, and maintaining the infrastructure and systems required for data storage, processing, and analysis.
• They play a crucial role in building and managing the data pipelines that enable efficient and reliable data integration, transformation, and delivery for all data users across the enterprise.
• You will collaborate with various groups within the Technology organization and across the firm to deliver high-value technology solutions and achieve organizational success.

• Design and develop data pipelines that extract data from various sources, transform it into the desired format, and load it into the appropriate data storage systems.
• Collaborate with architects, data scientists, AI engineers, and analysts to manage data as an asset and optimize models and algorithms for data quality, security, and governance.
• Integrate data from different sources, including databases, data warehouses, APIs, and external systems.
• Ensure data consistency and integrity during the integration process, performing data validation and cleaning as needed.
• Transform raw data into a usable format by applying data cleansing, aggregation, filtering, and enrichment techniques.
• Optimize data pipelines and data processing workflows for performance, scalability, and efficiency.
• Monitor and tune data systems, identify and resolve performance bottlenecks, and implement caching and indexing strategies to enhance query performance.
• Implement data quality checks and validations within data pipelines to ensure the accuracy, consistency, and completeness of data.
• Takes authority, responsibility, and accountability for exploiting the value of enterprise information assets and of the analytics used to render insights for decision making, automated decisions, and augmentation of human performance.

• Bachelor’s degree in computer science, data science, software engineering, information systems, or related quantitative field.
• 10+ years of overall experience in data engineering – primarily within data including experience with data modelling, ETL/ELT, data integration, master data management/entity management, data quality, data warehousing, analytics (prescriptive, predictive), business intelligence, data science, and governance.
• Proficiency in programming languages such as C#, Python, SQL, and Java.
• Experience with Microsoft technologies (SQL Server (IaaS, PaaS), Synapse, Cosmos
  
  DB, HDInsight, Azure Data Factory, Azure Databricks, Power BI, Fabric), Informatica cloud technologies (CIH, DIH, CDGC, MDM, Data Quality), Snowflake, and other relevant industry leaders.
• Communicate clearly and concisely with others, including senior leadership, in and outside of the organization in a credible, engaging, and confident manner. Possess the ability to adapt communication style and method as necessary, using the most effective communication method for each situation.
• Summarize and translate complex, technical information into straightforward language that is simple, memorable, and engaging for various technical and non-technical audiences, helping with interpretation based on…