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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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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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You should be comfortable working in a fast-paced environment and can help build APIs, Calculators, on new cutting edge cloud and big data technologies such as AWS EMR, EC2, Scala Spark, Scala, Snowflake.
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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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As a Sr. Big Data Engineer, you will work with a variety of talented teammates and be a driving force in technical initiatives that will accelerate analytics at Client. Big Data Engineer.
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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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In-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc. Preferred Qualifications:Professional certifications in cloud computing (e.g., AWS Certified Solutions Architect, Microsoft Certified Azure Solutions Architect, Azure Data Engineer, SnowPro Core) and/or big data technologies.
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Experienced in using Big Data stack (Hadoop, Hive, Spark, Kafka, Airflow/OOZIE, BigQuery/Presto/Impala, etc.) This solution harnesses the power of big data to empower all marketing teams reach their customers throughout the country.
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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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Some exposure to Big Data technologies, Apache Spark, AWS, AWS S3, amazon Glue, cloud -based data architecture is preferred. Experience with any of the Data Governance tool – such as Collibra, Alation, Informatica Axon DG, or Apache Atlas.
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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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4+ years using modern platforms & technologies, such as big data, data warehouses, data lakes, and data lakehouses; proficiency with Elixir; proficiency with Snowflake; familiarity with Databricks.
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Our direct client is seeking a Big Data Engineer for a 6-month contract-to-hire opportunity with their Newark, NJ location. AWS Solutions Architect or AWS Big Data Certification preferred.
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We are seeking a highly skilled AWS Data Engineer with experience in Big Data and AWS technologies. This role involves developing and optimizing big data solutions ensuring scalability and efficiency.
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big data jobs Title: developer Company: Cognizant in New York, NY
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