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Experience with data engineering concepts and challenges including data warehouse solutions, ETL, and distributed systems, as well as familiarity with and experience manipulating data in various formats, such as: avro, neo4j, json, cef, csv, w3c, pandas.
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Minimum of 5 years of hands-on skills in Python, Apache Spark, Hive, Cassandra, Snowflake, Elastic, Lucene, DataBricks, Hadoop, Redshift, Scala, Java, or other relevant technologies in data engineering.
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As a Senior Data Engineer, you will work within the Informatics team and contribute to Tendo's strategic data engineering solutions by ingesting, transforming, and warehousing healthcare-related data from various sources.
$97,750 - $132,250 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Job Segment: Manufacturing Engineer, Technical Writer, Engineer, Data Analyst, Engineering, Automotive, Technology, Data. Such investigations and analyses involve parts, vehicle inspections, data analysis and comprehensive technical reporting to KMNA and KMC. The position utilizes quality, manufacturing and technical engineering skill set to support early identification of vehicle quality concerns and conduct necessary analysis and investigation to support issue communication, resolution and containment.
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1) Support the Extract , Transform & Load (ETL) on the existing data pipelines run on AWS/Databricks using Airflow. 2) Work with the team to troubleshoot and solve business user issues related to data quality issues using SQL , Python, Databricks.
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You also will have the opportunity to learn both in the office and in the field from experienced engineers in system design elements including fiber optic and copper cabling design, low voltage electrical distribution systems, conduit infrastructure, SONET and IP networks, RF design for voice and data communications, Public Address and Passenger Information Systems, telephone systems, and wireless systems (SHF/UHF/VHF.
$68,610 - $89,661 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Progress towards a Bachelor’s degree in a quantitative or natural sciences field such as applied mathematics, statistics, engineering, operations research, finance, economics, data science, computer science, meteorology, or a demonstrated ability to learn new software and analytical concepts quickly.
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He/she is familiar with mathematical and engineering principles and methods used to design Instrumentation & Controls systems. Prepare Instrumentation and Controls deliverables for different design phases based on P&ID's, specifications, standards, codes, and customer input, including: instrument lists, I/O lists, instrument data sheets, wiring and segment diagrams, instrument and device location diagrams.
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We partner with key integrators across the data stack — from data platforms like Snowflake and Databricks; to BI tools like Tableau, Hex, and Mode. We have 100+ global services partners that are introducing dbt and the analytics engineering workflow to organizations of all sizes.
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We ask that you have dual knowledge of both data engineering and a knowledge of media data as you will support the design and advancement of our current warehouse solutions (built on the Datorama and Snowflake technology stacks), classifying real-time data to our clients and can also translate the data requirements to an external client via timelines, presentations, and other forms of documentation.
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We pursue a multi-disciplinary approach integrating data across biological scales in the brain, including molecular Chromosome-Conformation-Capture sequencing technologies, single-cell imaging, optogenetics, genome engineering, induced pluripotent stem cell differentiation to neurons/organoids, and in vitro and in vivo electrophysiological measurements.
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This role reports into the Head of Technology and has direct management oversight of data engineering, data architecture, data operations, data science, data analytics, and data governance teams that design, build, and operate technology architecture, solutions, and software to capture, manage, store, and utilize structured and unstructured data from internal and external sources.
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You also will have the opportunity to learn both in the office and in the field from experienced engineers in system design elements including fiber optic and copper cabling design, low voltage electrical distribution systems, conduit infrastructure, IP networks, RF design for voice and data communications, Public Address and Passenger Information Systems, telephone systems, and wireless systems (SHF/UHF/VHF.
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With mentoring from the Principal Investigator, oversee and develop algorithms for analyzing ensemble genomics data, single cell genomics data, single cell merFISH and sequential oligopaints imaging data, as well as novel molecular connectomics data.
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Leading the team through the life cycle of a D365 implementation providing key inputs during design, migrating data from external systems; conducting and supporting solution testing; building test cases; assisting with functional, system and user acceptance testing and conducting and supporting user and administrator training.
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data engineering jobs in Elkins Park, PA
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