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Expert knowledge of at least one data science programming language (e.g. Python, R, Julia, etc.) and relevant data science and visualization libraries (scikit-learn, pandas, ggplot, etc.
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Able to create repeatable data load and ETL processes using python scripts. Experience with programming, technology, and tooling such as R, Python, SQL, Snowflake, Azure, Git, Informatica IICS, Tableau, Power BI, Business Objects.
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You will develop robust and scalable data pipelines, ML model hosting, and backend services for enterprise line of business applications in Python, VertexAI, Airflow, dbt, Flask, PostgreSQL, BigQuery, Docker, Kubernetes, and more.
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Hands on experience with SQL, Python, Informatica PowerCenter/IICS, Collibra, Reltio Master Data Management, DBT Cloud, DBT core, Denodo, Synapse and Golden Gate replication. Expert in understanding data management practices, data modelling (data vault 2.0), master data management, data integration, data architecture, data virtualization, data warehousing, data privacy and security.
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Experience using SQL, R, Python, Tableau, Excel, or other analytical and statistical tools for visual presentation and data analysis. Our ideal candidate will be a data enthusiast with hands-on experience in SQL, Python, Tableau, or similar tools, and proficiency in mid/large data warehouses.
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We are looking for a Sr. Data Engineer that MUST have Airflow, extensive DBT, Snowflake, AWS, Python, and SQL. We are looking for a Sr. Data Engineer that MUST have Airflow, extensive DBT, Snowflake, AWS, Python, an.
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Build project-specific data pipelines (ETL processes) and validation tools using Python, SQL and AWS cloud technologies. Demonstrated experience using data science libraries in Python, SQL, R etc.
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This will involve overseeing the design and maintenance of data pipelines using Python, Spark/PySpark, BigQuery, GCP, SQL and visualizations such as Tableau or Power BI. You will also assist on implementing data architecture best practices, including data warehousing, data lakes, and cloud-based solutions.
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6 years An equivalent of 6 years experience with big data, database query and analysis languages (e.g. Python, SQL, Snowflake SQL, R, Scala, SAS, Azure DataBricks) and data visualization tools (e.g. Power BI, Tableau) required.
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Advanced knowledge of data and analytics solution delivery using common tools such as Alteryx, ACL, IDEA, SQL, Python, SAS, Tableau, QlikView, and PowerBI. Our client is a specialized boutique accounting and consulting services firm is currently searching for a Director to join their growing Robotic Process Automation and Data Analytics delivery team.
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Direct hands on experience with highly scalable data pipelines using BigData technologies (Spark, Hive, Airflow, DBT, Parquet / ORC, Kafka / Streaming, etc) 8+ years of professional data engineering or software engineering experience, with a focus on heterogeneous, large-scale data processing for machine learning pipelines.
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Experience in data sourcing technologies (external APIs, web-scraping, EDI files, etc.) 3+ years programming in Python, or Java/kotlin/scala is fine as well! Lead data ingestion (web-scraping, APIs, or any other protocoles) strategy.
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2 years of experience in automation (Azure DevOps, GitLab/Jenkins/Ansible/SQL Developer/Pipeline Script Groovy/SonarQube/Maven/OATS, Python/Jython) Senior level skills in administer, monitor, troubleshoot Oracle WebLogic server and Fusion Middleware Products SOA/BPM, BI Publisher, Oracle Service Bus (OSB), Oracle WebCenter Portal (WCP), Oracle WebCenter Content (WCC), Oracle GoldenGate integration, Oracle Data Integrator (ODI), WCP configuration, Oracle HTTP Server (OHS), deployments and performance.
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Coordinate Advertising Operations, Digital Partnerships, and Paid Search for campaign trafficking and quality assurance. Strong proficiency across the following platforms: Excel, PowerPoint, SQL, Tableau, Google Analytics, DoubleClick DCM, Python, and/or VBA.
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At least four (4) years of experience in the last five (5) years in testing and automation including proficiency with Selenium automation, Selenium WebDriver, Maven integration, TestNG, Java, Jenkins Automation, Azure DevOps, GitLab, Ansible, SQL Developer, Pipeline Scripting with Groovy, SonarQube, Oracle Application Testing Suite (OATS), OpenScript, and Python/Jython.
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