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Data Modeling: Requires knowledge of cloud data strategy, data warehouse, data lake, and enterprise big data platforms; Data modeling techniques and tools (For example, Dimensional design and scalability), Entity Relationship diagrams, Erwin, etc; Query languages SQL / NoSQL; Data flows through the different systems; Tools supporting automated data loads; Artificial Intelligent - enabled metadata management tools and techniques.
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AWS experience particularly data services such as Glue Lake Formation EMR Event-Bridge Athena. We are seeking a highly skilled AWS Data Engineer with experience in Big Data and AWS technologies.
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5+ years of experience in managing data in AWS Cloud environment and toolsets (Glue, Lambda, Athena, S3) and data management (SQL, Redshift, S3 Data Lake). 5+ years’ experience with data visualization tools (Tableau, Athena.
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5+ years in designing, solutioning the Snowflake, Databricks and Big data tools including DataOps, Data engineering, Data Integration, Data Orchestration and Data Marketplace.
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Experience working with cloud or on-prem Big Data/MPP analytics platform (i.e. SnowFlake,Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar). 3+ years' of experience with workflow management engines (i.e. Airflow, Luigi, Prefect, Dagster, digdag.io, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M.
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Hands-on experience with big data technologies such as Apache Spark, Hadoop, and/or Databricks. Certifications in relevant technologies (e.g., AWS Certified Big Data - Specialty, Google Professional Data Engineer, Microsoft Certified: Azure Data Engineer Associate, etc.
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Solid experience of AWS services such as CloudFormation, S3, Athena, Glue, EMR/Spark, RDS, Redshift, DataSync, DMS, DynamoDB, Lambda, Step Functions, IAM, KMS, SM etc. Migrate data from traditional relational database systems, file systems, NAS shares to AWS relational databases such as Amazon RDS, Aurora, and Redshift.
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5+ years of experience with Microsoft Big Data solutions with experience in SQL Server (2017 or higher), Azure SQL technologies (Azure Data Lake Gen2, Azure Databricks, Azure Databricks Unity Catalog, Databricks API, Databricks Row-level security, Databricks error logging, Azure SQL Server, and Azure Analysis Services), and a broad experience with related tools (CDC, Columnstore Index, In-memory Table, SSAS Tabular, DAX, T-SQL, SSIS.
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You are very skilled at using one or more BI tools (e.g. Tableau, Sigma, Looker), cloud data warehouses (e.g. Snowflake, Redshift, Big Query), data transformation frameworks (e.g. dbt), and data science tools (e.g. Python/Jupyter, Julia, R.
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Knowledge of real-time data streaming and real-time analytics Knowledge of Microsoft suite of tools is desired (Power BI, Synapse suite of analytics tools, Azure Data Factory) Strong implementation skills and working knowledge of data structures, algorithms and big data tools (Spark, Hadoop, Python, SQL, NoSQL, Hive); Must have hands-on experience using Spark.
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Your expertise in Java, Python, Spark cluster management, data science, big data, REST API development, and knowledge of Databricks and Delta Lake will be essential in driving the success of our data initiatives.
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Expert knowledge of Big Data and AWS concepts (Lambda, S3, EC2, EMR, Spark) Foursquare’s flexible building blocks include technology to maximize marketing impact and drive incremental real-world engagement (Attribution, Audience, Proximity, SDK); data to deeply understand points of interest and real-world behavior patterns (Places and Visits), and tools to conduct advanced analysis, data enrichment, unification and visualization (Studio.
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Manage and optimize data storage solutions on GCP, including Big Query, Cloud Storage, and Cloud SQL, while implementing data security and access controls using GCP's Identity and Access Management (IAM) and Cloud Security Command Center.
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Experience in any cloud data warehouse like Synapse, Big Query, Redshift, Snowflake. Optimize Databricks jobs for performance and scalability to handle big data workloads.
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Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.
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athena big data jobs in New York, NY
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