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8+ years of data engineering or data analysis experience using core data tools as Azure Data Factory, SSIS, and Apache Airflow and use of languages such as SQL, Python, R, and Excel.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Proficiency in programming languages commonly used in data engineering, such as Python, Scala, or Java. 7-Eleven is looking for a Senior Manager of Data Engineering to join the Enterprise Data Platform Team. This role would report into the Senior Director of Data, AI/ML, and R&D.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Strong Statistical data analysis and data preparation/automation knowledge with SQL, JMP, SAS, Alteryx/DataIku, Tableau, and/or Python. The Quality Assurance Manager will be part of the Quality Assurance group and provide day to day Quality Engineering leadership at the EMD Electronics Dallas, TX site.
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6 years of experience must include: Ab initio, Informatica, Data Stage; Teradata, IBM DB2, Cognos, Oracle PL SQL; Autosys, Control-M, Erwin, XML, HTML, CSS, Unix Shell Scripts; Data Analysis, Data Processing, Code Optimization, Performance tuning; Automating Business Process and Models; Microsoft Visio, Web Services, Crystal Reports; and HP Quality Center, ALM, VSS, EME, XSD. At least 3 years must include: Hadoop, HDFS, Big Data, Hive, Spark.
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Experience with other relevant tools used in data engineering (e.g., SQL, GIT, etc.) Strong proficiency in Python, SQL, Linux/Unix shell scripting, GitHub Actions or Docker, Terraform or CloudFormation, and Snowflake.
RemoteExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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We are seeking an experienced Python Developer with a strong background in PySpark to join our data engineering team. The ideal candidate will have a robust understanding of big data processing, experience with Apache Spark, and a proven track record in Python programming.
$120,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Create and manage data storage solutions using GCP services such as BigQuery, Cloud Storage, and Cloud SQL. Participate in code reviews and contribute to the development of best practices for data engineering on GCP.
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Expertise in Data visualization tools such as Power BI, Tableau and Looker is a plusAbility to understand API Specs, identify relevant API calls, extract data and implement data pipelines & SQL friendly data structures.
$248,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong working knowledge of databases, data modeling and modern cloud-based data architecturesStrong working knowledge of data and analytic tools and programing languages including but not limited to SQL, Python, Map Reduce, SAS, R, SageMaker, S3, Git etc.
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Define the Roadmap for the Platform Engineering function and its key pillars (SRE, Dev Ops, UX, DX, APIs, Data) We are looking for a Highly driven CTO who will be responsible for overseeing application SRE (Site Reliability Engineering), Testing Frameworks & Automation, DevOps & Cloud Enablement, Standard Platforms, User Experience Platforms & Developer Experience Platforms, of the company, driving our technology strategy, and ensuring the alignment of our tech capabilities with business goals.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Snowflake – Familiarity with stages and external tables, commands in snowflake like copy, unload data to/from S3, working knowledge of variant data type, flattening nested structure thru SQL, familiarity with marketplace integrations, role-based masking, pipes, data cloning, logs, user and role management is nice to have.
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Experience in Deep Learning techniques, e.g. Transformers, LLM, VLM, vision transformers, transfer learning, LORA, PEFT, CNN, or NLP.Experience using python and/or C/ C. Technical Acumen:Perform model training and validation using various types of machine learning techniques on structured/unstructured data, including imagery, text and graphs.
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Technical Oversight: Provide technical guidance on model training and validation using various machine learning techniques on structured/unstructured data, including imagery, text, and graphs. Job Qualifications: Master's Degree or higher in machine learning, science, math, statistics, engineering field, or equivalent work experience.
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You must be familiar with image processing, machine vision, and data engineering, and even better if you are interested in 3D rendering, deep learning, and computer graphics. You must be proficient in Python image processing (e.g., Pillow, OpenCV, scikit-image, and ITK.
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Data Center Modernization skills including, but not limited to: Data Center Facilities modernization, Data Center Migration, Data Center colocation, Data Center Consolidation, Data Center core networking concepts, etc.
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