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Strong hands-on experience of programming language like Python, Scala with Spark and Databricks. Hands on working experience of data processing at scale with event driven systems, message queues (Kafka/ Flink/Spark Streaming.
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LLM, RAG, Data engineer, Python, Pyspark, Machine learning, Gen AI, AI/ML, Vector database, Databricks, Snowflake, Working experience with Continuous Integration & Continuous Deployment with hands-on expertise on Jenkins, Terraform, Splunk and Dynatrace.
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We are seeking a highly skilled and experienced Senior Data Engineer with a strong background in SQL, Python, and extensive hands-on experience with Azure Databricks and Azure Cloud services.
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High level of proficiency in ETL processes and demonstrated, hands-on experience with technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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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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Hands-on experience working with modern cloud data lake house technologies e.g. Databricks (preferred) or Snowflake. You will also continue to contribute as a hands-on engineer.
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At least 3 years of hands-on Splunk Administration experience in a multi-indexer search head cluster environment. Hands-on experience with Unix in a STIG environment; at least 1-2 years.
$86,000 - $138,000Full-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Hands-on experience with data warehousing, data lakes, and analytics platforms (e.g., Snowflake, Redshift, BigQuery). · Familiarity with data security principles and practices· Experience with data visualization tools (e.g., Tableau, Power BI) and statistical analysis tools (e.g., R, Python.
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If you are passionate about leveraging data to drive meaningful insights and have a proven track record in data engineering, analytics, and leadership we invite you to join us on this exciting journey.
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The Fiber Technician will fully complete all paperwork accurately and on time specifically: timesheets, material transfers, work orders, change orders, tool transfers and others as required. Prefer Data Center installation experience.
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Design, build, and manage data pipelines for the ETL process, using Airflow for orchestration and Python for scripting, to transform raw data into a format suitable for our new Snowflake data model.
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Must Have skills: MDM, Experience in writing queries (SQL, Python, R, Scala) as needed and experience with various data technologies such as Azure Synapse or SQL Server, Data Modeling, Snowflake, Databricks.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Experience in harmonizing clinical study data from multiple studies with diverse study designs, data standards spanning multiple indications (ideally in Oncology, Neuroscience and Specialty therapeutic areas)Experience in leading studies with hands-on experience for developing ADaM specs, SAS Programs and TLFs. Experience in SAS Programming on LINUX, LINUX shell scripting, developing data transformation automation tools and experience in programming languages such as R, Python is preferable.
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Will maintain, move, and manipulate data between applications, using appropriate software/code: Apache Spark, ElasticSearch, R, Python, Kibana and others as technology evolves. Experience working with commercial-off-the-shelf (COTS) statistical software or tools for data visualization (i.e., SPSS, SAS, MatLab, Tableau, etc.
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hands on python data jobs Title: senior data engineer specialist in Columbia, Missouri
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