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Our openings include receptionist, data entry, customer service, collections, office managers, call center, administrative assistant, accounts payable clerk, accounts receivable clerk, file clerk, warehouse, assembly, production, pickers, packers, forklift, machine operators, and maintenance mechanics.
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Must have hands on Snowflake, AWS and Airflow. 5+ years in data engineering with detailed knowledge of data warehouse technical architectures , infrastructure components , ETL ELT.
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Responsibilities: Technical Leadership: Lead by example, contributing hands-on expertise in Python, Airflow, Snowflake, and AWS to develop scalable and efficient solutions. Job Title: Hands-On Engineering Manager Location: Newton, MA About Us: My client is a rapidly growing eCommerce beverage distribution company that achieved $200 million in revenue last They are at the forefront of revolutionizing the beverage industry by providing exceptional service and innovative solutions.
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This is an opportunity to be involved in all facets of the white space fit out including physical infrastructure, structured cabling, power distribution, space planning and HVAC. This will include a primary focus on working as a project manager in a billable, professional services (consulting) capacity.
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Must have hands-on RWD/RWE experience with CMS data, large-scale administrative claims data sources (e.g., MarketScan, Optum, Medicare LDS SAF, Komodo claims), and EHR. As a Senior Programmer/Analyst, Real-World Data and Analytics, you will conduct hands-on programming (expert level for R, proficiency with SAS is also desired) in supporting our real-world data & analytics needs under the supervision of our Director HEOR analytics scientists.
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Possess hands-on experience with data center design and deployment best practices - including a strong understanding of power distribution and/or structured cable design in the data center.
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Required 10 Years Hands-on experience with Azure services such as Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Azure SQL, Azure Synapse Required 5 Years Hands-on experience in SQL Server (SSIS, SSRS, SSAS), ORACLE, T-SQL Required 10 Years Hands-on experience in Azure SQL Database, Azure SQL Datawarehouse Required 7 Years Hands-on experience in deploying and maintaining large-scale data processing pipelines.
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4+ years of hands-on experience with cloud data warehousing technologies (Snowflake is preferred, BigQuery, AWS, Azure, SAP BW). Familiarity with Streaming using Spark or Flink or Kafka or NoSQL or relevant technologies Continuously stay up-to-date on industry trends and advancements in data engineering and analytics.
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We have openings for warehouse associate, assembly, production, forklift order puller, forklift, machine operators, maintenance mechanics, receptionist, data entry, customer service, concierge representative, insurance, sales, substitute teaching, collections, call center, WAREHOUSE ASSOCIATES, administrative assistant, accounts payable clerk, accounts receivable clerk, file clerk, and office managers.
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As an Analyst with Kimley-Horn, you will benefit from hands-on experience, technical software and consulting trainings, and developmental programs geared towards growing Kimley-Horn’s future leaders.
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Hands on experience with modern cloud data warehouse and engineering for one or more of the following cloud providers - GCP (Big Query, Vertex, Cognitive Services), Snowflake, Azure (Synapse, Dynamo, Cosmos, Azure ML, Power BI), AWS (Redshift, Sage maker), Tableau;Possessing a certification(s) in one of the following is a big plus – GCP/AWS/Azure/ data or ML engineering.
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Provide technical expertise and guidance on the selection, and hands-on implementation, and optimization of big data platforms, tools, and technologies across multiple cloud environments (e.g., AWS, Azure, GCP, Snowflake, etc.
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Must have six (6) years of experience with: Hands-on software development, data engineering, and systems architecture; Data Lake Infrastructure, Data Warehousing, and Data Analytics tools; Developing Enterprise Data Models; Data modeling, data warehousing, and building high-volume ETL/ELT pipelines; Building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets.
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Hands on development in Python, PL/SQL, SQL, Shell Scripting, AutoSys. Hands on experience working in cloud data platforms such as AWS Redshift, Spark based data engineering solutions.
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Demonstrated experience building data pipelines with PySpark and AWS.Application development experience in financial services with hands on designing, developing, and deploying complex applications.
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hands on data warehouse capacity planning jobs Company: Dice in Parkville, Maryland
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