Job Title

We are seeking a skilled Data Engineer to join our team. This role will play a crucial part in this exciting time of our company’s exponential growth. The ideal candidate is hard-working and excited by the prospect of optimizing, owning, and growing the team’s data architecture to support the ongoing data projects and data product development! As our Data Engineer you will support the cross-functional analytics team – which is comprised of executives, data analysts, and data scientists – across multiple initiatives and will ensure efficient data delivery is standardized across the team’s data warehouse.What you'll be doing:Crafting and maintaining efficient data pipeline architectureAssembling large, complex data sets that meet functional / non-functional business requirementsIdentifying, crafting, and implementing internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.Building the infrastructure required for efficient extraction, transformation, and loading (ETL) of data from a wide variety of data sources using SQL and ‘big data’ technologiesWorking with technical and non-technical stakeholders to assist with data-related technical issues and support their data infrastructure needsWorking with the team to strive for clean and meaningful data, and greater functionality and flexibility within the team’s data systemsWhat you bring to the table:2+ years of experience in a data engineering roleBTech in computer science or equivalent from tier 1 collegesAdvanced working SQL knowledge, query authoring, database optimization, and experience working with relational databasesExperience with object-oriented/object function scripting languages: SQL, Python, R, Scala, etcStrong project management and organizational skillsExperience supporting and working with cross-functional teams in a dynamic environmentExperience building, maintaining, and optimizing data pipelines, architectures, and data setsExperience cleaning, testing, and evaluating data quality from a wide variety of ingestible data sourcesDesign processes supporting data transformation, data structures, metadata, dependency, and workload managementExperience with manipulating, processing, and extracting value from large, disconnected datasets including structured, semi-structured and unstructured dataExperience with Azure, AWS or Google GCP cloud servicesPreferred experience with data platforms/tools: Databricks, Azure Synapse Analytics, Azure Data Lake Storage.