Data Scientist

Job Description - Collaborate with our business analytics and data science teams, gathering requirements and delivering complete business intelligence solutions - Mentor junior software developers and build a strong team - Model data and metadata to support discovery, ad-hoc, and pre-built reporting - Design and implement data pipelines using Hadoop, Spark, and Azure services such as Blob Storage, SQL Database, Event Hubs, Data Factory, Synapse Analytics, and Databricks - Should be able to write Programs & Scripting, Strong in SQL, Proficiency in Python or Scala. Experience with PowerShell or Azure CLI for automation is a plus - Partner with security, privacy, and legal teams to deliver solutions that comply with security and privacy policies - Own the design, development, and maintenance of datasets our business analytics teams will use to drive key business decisions - Develop and promote standard methodologies in data engineering, including scalability, reusability, maintainability, and usability - Tune and ensure compute performance by optimizing queries, databases, files, tables, and processes - Ensure data and report service level agreements are met - Analyze and solve problems at their root, stepping back to understand the broader context - Own continuous engineering operational excellence of the datasets that drive key business decisions - Learn and understand a broad range of data resources and know when, how, and which to use and which not to use - Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with increased data volume using Azure - Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets - Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment 15 Qualifications we seek in you Minimum Skills required - Bachelor s degree in computer science or related technical field - 10+ years of experience in data architecture and business intelligence - 5+ years of experience in developing solutions in distributed technologies such as Hadoop, Spark - Experience in delivering end-to-end solutions using Azure services Blob Storage, SQL Database, Event Hubs, Data Factory, Synapse Analytics, and HDInsight - Experience in programming using Python, Java, or Scala - Expert in data modeling, metadata management, and data quality - SQL performance tuning - Strong interpersonal and multitasking skills with the ability to balance competing priorities - Excellent communication (verbal and written) and interpersonal skills and an ability to effectively communicate with both business and technical teams - An ability to work in a fast-paced ambiguous environment where continuous innovation is occurring - Experience with a business intelligence reporting tool Preferred Skills - Experience with Databricks for advanced analytics and data processing - Understanding of well-architected data pipeline designs - Expertise in monitoring and fault-tolerant pipeline designs - Knowledge of cluster configuration for optimal performance - Ability to create cost-optimal solutions - Experience in exploratory data analysis (dashboarding, plotting) using machine learning technologies and algorithms is desirable - Good knowledge of standard machine learning techniques (like regression, classification, anomaly detection, forecasting) by using standard machine learning libraries part of Spark, Python is desirable - Prior experience in gen AI and related tools and techniques (such as large language models, prompt engineering) is desirable - Having a relevant Azure certification (architecture/data/machine learning) is desirableData Engineer