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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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Utilize SQL/Python/R or other relevant statistical tools for data mining and predictive analytics. 2+ years of experience using Python/SQL/R (or equivalent) programming languages required.
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Assist in conducting analytics experiments, generating reports, and creating dashboards using SQL, R, Python, or other scripting and statistical tools. You will assist in conducting analytics experiments, generating reports, and creating dashboards using SQL, R, Python, or other scripting and statistical tools.
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Analyzing large data sets using programming languages such as Python, R, SQL and/or Spark. + Building predictive and descriptive statistical models using machine learning tool kit, Jupyter notebooks, Python etc.
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Proficiency in data analysis tools and programming languages, such as SQL, Python, R, or similar. Strong experience with data visualization tools (Looker is preferred) and dashboard development.
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Knowledge of how campaigns are created by leveraging customer data from internal data warehouses through tools such as HCL Unica (Campaign / Interact), Python, SQL, and SAS. Knowledge of Python, SQL, SAS; knowledge of databases and big data infrastructures; knowledge of vendors and file format requirements.
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Extracting and aggregating data from large data sets using SQL/Hive or Spark. Masters or a Ph. D. degree in Data Science, Economics, Statistics, Applied Mathematics, Computer Science, Operations Research, Business Analytics, or a related technical field.
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May include database knowledge in; SQL, MySQL, Oracle DB, PostgreSQL, Cassandra, dBase, MS Access, etc. Responsible for development, programming, coding of Information Technology solutions using Python.
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With data visualization tools (e.g., Tableau, Looker) and statistical analysis software (e.g., R, Python). in SQL & data management systems (e.g., SQL Server, MySQL, Snowflake, AWS (Amazon Web Services), Adverity, etc.
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Proficiency in SQL and expertise in at least one scripting language (Python/R); familiarity with Adobe Analytics Workspace. Employ SQL for data manipulation and analysis; demonstrate expertise in at least one scripting language (preferably Python or R) and familiarity with Adobe Analytics Workspace.
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Our tech stack currently includes GCP, Python, Looker, and SQL. Fluency in SQL, Python, and Machine Learning, with experience exploring and understanding large, complex datasets & data systems.
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Develop a robust and scalable backend for enterprise line of business applications in Python, BigQuery, Docker, Kubernetes, Vertex AI, and more. Experienced using Python and tools such as Apache Beam, Tensorflow, Tensorflow extended and ML platforms tools like Vertex AI or Amazon SageMaker.
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Experience working with Apache Spark (SQL, MLlib, Streaming) Strong programming skills in Python, Scala, Golang. Strong SQL skills. Experience working with Apache Spark (SQL, MLlib, Streaming.
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Excellent SQL skills with experience using statistical programming languages (Python, R, etc.) Excellent SQL skills with experience using statistical programming languages (Python, R, etc.
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Must have one or more of the following: - DevOps experience - Familiarity with Data Modeling, Data Warehouse design and/or Big Data (Hadoop) - Experience using Python - Experience with NOSQL. Ability to develop, maintain, and re-platform SSIS, SSRS, SQL Server sorted procedures.
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