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This position will support the Portfolio Management Office (PMO) at the Engineering Department and report to the Division Manager of PMO. The candidate is expected to analyze data using a variety of tools and data sources, including QuickBase, Power BI, Paginated Reporting (SSRS), Python, SQL, Excel formulas, as well as commercial cloud platforms such as Snowflake, Power BI’s Cloud Services (e.g., Data Flows and Dataverse) and Amazon Redshift - respectively.
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Experience in Data Engineering leveraging AWS Redshift, S3, Glue, Airflow, Python, SQL and Kubernetes. Implement data pipelines using tools such as Apache Airflow, AWS Glue, Redshift, S3, Python, and Informatica Cloud.
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Experience with and application of one of the following: - Data visualization: tools such as Tableau, Datorama, Alteryx - Advanced analytics software packages: SQL, R, Python or other - Concepts of database design and SQL Desired Experience.
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KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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Manipulates and extracts Medicare, Medicaid, and other healthcare claims data stored in Cloud environment using appropriate software such as SAS, Snowflake, Python, R, SQL, and other software as appropriate for the task.
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Use ETL, CI/CD, Agile, Snowflake, Rest API, JSON, PL/SQL, DMS, CDC, Lambda, S3, SQS, RDS, Jira, Oracle, SQL Server, SNS, Python, SQL, AWS. 40 hrs/wk. Must have 2 years of experience reviewing requirements; developing and working with data models, data warehouses, data pipelines, scripts, files, queries; performing unit testing; using ETL, Agile, Rest API, PL/SQL, RDS, Jira, Oracle, SQL Server, AWS. Must be willing to travel/relocate to unanticipated locations throughout the US on short notice for extended periods of time.
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Proficient in analyzing data and developing ML models using Python (with ML frameworks like tensorflow , scikit-learn, etc.) ~ Understanding of SQL and distributed data technologies (Hive, Spark.
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Partnership : Partner closely with business stakeholders to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, data visualization, experimentation and data architecture.
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Experience fully integrating data science solutions into the business and operationalizing ML models. ~ Ability to draw insights and conclusions from data to inform model development and business decisions.
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Desire to collaborate with other data scientists, data analysts, and key business partners. The Walt Disney Company Direct to Consumer’s (DTC) Data Science team combines deep data analysis and research of our rich user data to present a compelling vision around user retention and preferences across the vast ecosystem of our product offerings and content.
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Senior Manager, Data Engineering (Spark, Scala, SQL) Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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9+ years of experience in application development including Python, SQL, Scala, or Java. 4+ years of data warehousing experience (Redshift or Snowflake) 5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
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We design, build, and own services leveraging a wide list of technologies (Spark/Scala/Python), and use AWS infrastructure that hosts the solutions. As a Capital One Senior Manager Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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4+ year experience working on real-time data and streaming applications. Oversee skilled data engineers to build robust data pipelines, ensuring data integrity accuracy and accessibility for all stakeholders.
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Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community.
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data analyst engineering python sql jobs Title: business analyst Company: Amazon in Lawrence, New Jersey
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