Data Modeling, Master's degree in Computer Engineering, Computer Science, Information Systems, Relevant industry experience (for example, retail, supply chain, eCommerce, healthcare, etc.

Admission and Recruitment Marketing, the Generalist/Data Processing Clerk works as part of a team to. The Generalist/Data Processing Clerk will handle general. the Generalist/Data Processing Clerk will.

Requirements: Requires a Master’s in Statistics, Computer Science, Data Science, Machine Learning, Applied Math, Operations Research, Economics, or a related field plus two (2) years of experience as a Data Scientist, Data Engineer, or other occupation/position/job title involving research and data analysis.

Job Title: Forensic Data Technician. Provide forensic data acquisition, collection/capture of electronically stored information (ESI), and seizure of Windows-based desktop/laptop computer systems, mobile devices, and related digital storage media.

Implement with a DataOps Mindset : Embrace a DataOps mindset and utilize modern data engineering tools and frameworks, such as Apache Airflow, Apache Spark, or similar, to build scalable and efficient data pipelines and architectures.

Familiarity with big data tools such as BigQuery, Athena, etc. Extensive experience with data visualization tools such as Tableau, Looker, etc. We are seeking a sharp and highly analytical Data Analyst to join our dynamic and fast-growing company.

Technology polymath: Experience with a wide range of technology and can learn and develop any solutions across the full data science lifecycle and application stack. Proficient with Data Warehousing solutions (e.g., Redshift, Snowflake, BigQuery, Lakehouse, Data Mesh, Medallion Architecture.

Proficiency with transforming and analyzing large scale data with modern cloud computing platforms (e.g.,SparkSQL, BigQuery, Snowflake, Databricks), with high proficiency with query languages like SQL.

Developing and maintaining complex ETL mappings, workflows and Unix shell scripts in a normalized/denormalized data warehouse/data mart environment based on technical specifications and other supporting documentation, utilizing Informatica PowerCenter, Unix Shell Scripts, advanced SQL, Python, AWS services and Autosys Enterprise Scheduler, Performing Unit Test, System Integration Testing, User Acceptance Testing, Disaster Recovery and regression testing activities.

Deep knowledge of cloud database solutions (e.g. Snowflake), visualization tools (e.g. Tableau, Looker, etc), customer data management and structure, best practices data modeling and management and data QA, etc.

Ability to migrate the Data Science models written on native python language to the multi node Databricks compute. Qualifications and Skills IT professional experience in Azure Cloud with over 5+ years of Azure Development Ability to recreate existing legacy application logic and functionality into Azure Databricks/Data Lake, SQL Database and SQL Datawarehouse environment.

A SQL wizard, who feels at home in a data warehouse (BigQuery, Snowflake, Redshift Etc. Data modeling experience, using tools such as dbt. A data professional with a yearning to solve big-picture problems, learn new things, seek answers in data and finds comfort in uncertainty.

Assist the team that will document, maintain, and tune AML transaction monitoring rules, sanctions screening systems, and risk scoring models as well as detailing data lineage and model/rule assumptions and parameters for all models.

Experience in data collection from systems like ServiceNow, Splunk, or other data lakes, along with the ability to extract and normalize data for the establishment of routine feeds for IAM processes.

Expert understanding of the electrical and mechanical systems used in a facility and data center environment, including, but not limited to the following: electrical distribution and layout, Transformers, PLC's, Generators, Switchgear, UPS systems, STS', ATS' PDU's, Chilled Water Systems, CRAC/CRAH's, Pre-Action Sprinkler Systems.