The Senior Big Data Engineer will be responsible to employ various tools and techniques to construct frameworks that prepare information using SQL, Python, R, Java and C. 3+ years of Python, Java or any programming language development experience 3+ years of SQL & No-SQL experience (Snowflake Cloud DW & MongoDB experience is a plus) 3+ years of experience with schema design and dimensional data modeling Expert proficiency in SQL, NoSQL, Python, C.

Experience with JMP, SQL, LabView, MATLAB, etc. ASQ Six Sigma Green Belt, Black Belt, Lean Mfg. Experience with setting up new product lines and transitioning into volume production. About the RoleThe Process Control Engineer will enable the manufacture of next generation fiber lasers and optical components through process development and support the transition from concept to high volume manufacturing.

Experience with production cost modeling (e.g., Aurora), optimization modeling, and Monte Carlo simulation, and proficiency with Python, VBA, and SQL; At least five years of relevant experience in the electricity industry, including exposure to and understanding of: wholesale energy markets; renewable, hydro, and thermal generating technologies; energy storage, demand response/flexible load programs, and energy efficiency.

Experience migrating data from legacy systems using tools like Hadoop, Exadata, Oracle Teradata, or Netezza. Minimum of 3 years of building and operationalizing large-scale enterprise data solutions using one or more third-party resources such as Pyspark, Talend, Matellion, Informatica or native utilities as Spark, Hive, Cloud DataProc, Cloud Dataflow, Apache, Beam Composer, Big Table, Cloud BigQuery, Cloud PubSub etc.

NET, T-SQL, REST API services, Azure SQL, App Services, Azure Storage, Azure Data Factory, Cosmos DB, GitHub, Azure DevOps, and CI/CD pipelines. Net Core, Azure DevOps, and T-SQL. NET, T-SQL, REST API services, Azure SQL, App Services, Azure Storage, Azure Data Factory, Cosmos DB, GitHub, Azure DevOps, and CI/CD pipelines.

From the creation of HR strategy using our leading Oracle-enabled HR Transformation labs, the application of design thinking that allows HR to challenge how work gets done today, to navigating the ever-evolving HR technology landscape to determine the right digital solutions to enable transformation, our HR Transformation practice is focused on helping HR take the lead.

Preferred – Experience with SQL and visualization tools (PowerQuery, PowerPivot, PowerBI, Tableau, Alteryx, etc.) WHO WE ARE LOOKING FORWe are looking for a Senior Operations Analyst to manage performance across hero Demand & Supply Management (DSM) KPI’s for our Asia Pacific Latin America (APLA) Geography.

Experience of database technologies such as Microsoft SQL Server, Oracle, or NoSQL databases. Experience of multiple programming languages, such as C#, Java, Python, SQL, Scala, or similar.

Exposure to Cloud Services (Azure, AWS, etc,) Safe Software FME Desktop, FME Server, FME Cloud or KNIME Esri ArcGIS/ArcGIS Pro products (ArcMap, ArcCatalog, ArcToolbox) Linear referencing toolsets Extensive familiarity with enterprise database environments, including versioning concepts (Oracle, SQL Server) Demonstrating progressive and analytical problem-solving skills.

Experience of Extract/Transform/Load (ETL) and Extract/Load/Transform (ELT) tools, including both batch and real-time data transmission applications such as SSIS, Azure Data Factory, Informatica, Kafka, Spark, MuleSoft, or equivalent software.

This role involves architecting and implementing solutions that enhance the performance and scalability of the Gluten project, which integrates native libraries with Apache Spark SQL. The ideal candidate will have a strong background in distributed systems, native code optimization, and a deep understanding of SQL engines.

As part of our finance team, you’ll focus on providing the support companies need in their Finance Transformation journey enabled by Oracle Cloud ERP and EPM. You will be part of a team that helps clients rethink their Finance functions as they leverage new Cloud technology including RPA, Machine Learning and Analytics in conjunction with their ERP platform.

Utilize project tools such as Azure DevOps (ADO) and Oracle Primavera Cloud (OPC) to provide updates and actions on project tasks. Provide support to multiple affiliates such as MidAmerican Energy Company, Nevada Energy, Pacificorp, GT&S, Kern River, Northern Natural Gas, BHE Renewables, BHE U.S. Transmission and Berkshire Hathaway Energy.

Advanced knowledge in Microsoft SQL Server and ability to create medium and complex reports using Microsoft Power BI. Advanced working knowledge of DNS, DHCP, VPN, firewalls, network load balancing, proxies, network fileshares, e-mail, SQL server, IIS / Apache / HTTP web servers, and SSO technologies.

Data Engineering (Airflow, Spark, Python, SQL) Proficient at SQL. Data Engineering (Airflow, Spark, Python, SQL) As a Data Engineer focusing on Data Quality for Asia Pacific and Latin America, you will use your technical expertise to validate and ensure data accuracy across a variety of systems.