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Experience in large scale cloud data migrations using Snowflake, Python, Spark, SQL, Databricks. Experience in end-to-end implementation of projects in Azure, Snowflake, Python, SQL.
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Experience in architecting data pipelines and solutions for both streaming and batch integrations using tools/frameworks like Glue ETL, Lambda, Google Cloud DataFlow, Azure Data Factory, Spark, Spark Streaming, etc.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. What you’ll be responsible for:As a member of the Data Engineering - Business ETL team, you own the ETL/ELT pipelines and data warehouse that is used for financial and regulatory reporting.
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Expertise in open source data science technologies such as Python, R, Spark, SQL. Master's Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science.
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You will be maintaining our existing Snowflake data warehouse and integrating new data sources as they become availableYou will own, maintain, and build on our Airflow task orchestration systemYou will design new data transforms using SQL/dbt that can be integrated into our Airflow pipelinesYou will work to build strong relationships with and support co-workers, including remote peers in other time zones.
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Hands-on experience in ETL/ELT and data security, SQL performance optimization and job orchestration tools and technologies e.g., dbt, APIs, Apache Airflow, etc. Experience in data platforms: Snowflake, Oracle, SQL Server, MDM etc Expertise in writing SQL and database objects - Stored procedures, functions, and views.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Candidate must also possess: Demonstrated Expertise ("DE") with relational databases and data architecture, including the conceptual design and development of data marts using Snowflake, SQL Server, Oracle, or MS Access databases.
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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. 5+ years of data warehousing experience (Redshift or Snowflake.
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Proficiency in relational databases, Snowflake, SQL, data visualization, and Business Intelligence tools such as Tableau. Experience with querying, manipulating, cleansing, and statistically analyzing large data sets using tools such as Snowflake or SQL Server Management Studio.
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Subject Matter Expertise in Azure, Databricks, Snowflake, Micro service architecture, Docker, ETL tools, Data as a Service, ACID and data structures is desired. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Optimize solutions (ETL / data pipelines) to balance performance, functionality, cost, and other operational requirements. Demonstrated experience in scripting languages (Python, R, SQL, Shell scripting.
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The Department of Public Utilities seeks applicants for the position of Data Analyst II in the Rail Transit Safety Division. The Data Analyst II will support the Rail Transit Safety Division’s data-driven decision-making processes.
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Data bases (SQL, NoSQL) and Data Platforms (Databricks, Snowflake) Strong Programming skills with good understanding of concepts such as OOPS, design patterns, master data management & Ontology development.
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DE interpreting requirements within an Agile environment to identify existing gaps in data availability and storage; and articulating roadmaps and prioritizing the migration of structured and unstructured data from SQL, flat files, and API sources using ETL (Extract Transfer and Load) tools to be made available in data warehouses (Simple Storage Server, Data S3 Lake) for data storage and analytical purposes.
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Knowledge of data integration tools and experience integrating Salesforce with different business systems (ETL, CPQ, marketing automation, reporting, etc.) Experience with data management and relational database design and familiarity with SOQL data formats, table joins, ETL, etc.
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