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Expertise in building ELT pipelines, Kafka, data transformation tools (eg, dbt), and modern BI platforms (eg, Looker, Tableau), GitHub, AWS, SQL, and strong proficiency in Python as well as analytics databases (e.g., Snowflake or another columnar DB) and associated pipelines.
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Define patterns and processes for data transformation, movement, and manipulation using (amongothers), SQL, Databricks, dbt, Spark, Amazon Aurora, DynamoDB, and Redshift. In this role, you will utilize your knowledge of data, Databricks, and AWS technologies to guide multiple partner led engineering teams to deliver solutions related to customer and marketing data.
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2+ years of experience as a data engineer, engineering-focused analyst, database administrator, software engineer, or similar. Develop and enforce team-wide engineering best practices in dbt and develop automated tests and toolsets to allow the entire Analytics team to write consistent, bug-free code.
$90,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency in data engineering tools and technologies - SQL, Python, Spark, DBT, Airflow, Kafka. 10+ years of experience for senior, and 15+ for principal, of proven experience in modern cloud data engineering, data architectures, data warehousing, and software engineering.
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Experience with modern data engineering tools such as Talend, DBT, Databricks, Snowflake and data visualization tools such as PowerBI, Tableau, ThoughtSpot. It's time to utilize your skills in software and data engineering to drive scientific and technological life-changing solutions within the pharmaceutical industry.
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Experience with data engineering tools like Databricks, DBT, Fivetran, etc. Knowledge of data visualization tools such as Tableau, Mode, or Sigma Computing. 3-5 years of hands-on experience in data analysis, statistical modeling, and machine learning techniques.
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Expertise in data and analytics technologies, tools, and platforms, such as SQL, Python, R, Spark, AWS, Azure, Tableau, Power BI, Swowflake, DBT, Prefect, AWS Glue, etc. Strong knowledge and experience in data engineering, data analysis, data science, business intelligence, and data visualization.
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Prior experience with DBT (Data Build Tool) for data transformation is preferred. Stay updated on industry best practices and emerging technologies in data engineering and cloud computing.
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Keywords:Phoenix AZ Jobs, Director of Data and Business Intelligence, SQL, Python, Snowflake, Databricks, Redshift, Airflow, DBT, Looker, Tableau, Sigma, Data Science, Quantitative, Arizona Recruiters, Information Technology Jobs, IT Jobs, Arizona Recruiting.
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You have worked with Dagster/Airflow, BigQuery, GCP, Terraform, Kubernetes, sklearn, keras/TensorFlow/pytorch, dbt, data modeling, Python/Pandas data frameworks, and scalable technical concepts/solutions.
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Familiarity with data warehousing concepts, tools and monitoring highly recommended (Airbyte, DBT, Bigquery, Redshift) Scale architectural design work through data engineering, data governance, and solutions architecture.
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Understanding of enterprise data management concepts (Data Governance, Data Engineering, Data Science, Data Lake, Data Warehouse, Data Sharing, Data Applications.
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Experience with modern data analytics, transformation and reporting tools, such as Looker, Thoughtspot, LookML and Dbt. Experience working with Analytics Engineering, Data Operations and Data Engineers.
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Our current stack is built on AWS, leveraging a variety of services including: ECS, EC2, RDS, Redshift, Apache Airflow, Lambda Functions, Glue Jobs. We also leverage dbt for data transformation and modeling.
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Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to data by the entire enterprise. Four years of data engineering or equivalent experience.
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