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Experience in PostgreSQL, SQL Server, MySQL & Oracle databases, and Massive Parallel Processing such as AWS Redshift and/or EMR. Minimum 3 years of experience on Amazon Web Services such as VPC, S3, EC2, Redshift, RDS, EMR, Athena, IAM, Glue, DMS, Data pipeline & API, Lambda, etc.
$104,550 - $141,450 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experiencewithmodern data technologies/stack such as cloud services (AWS, Azure, GCP), Containerization (Docker, Kubernetes), Databases (Redshift, Snowflake), Programing languages (R, Python, SAS), VCS and CICD (GitHub, GitLab, CodeCommit, Jenkins, CodePipeline.
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Experience with AWS cloud services: EC2, EMR, RDS, Redshift Experience with stream-processing systems: Storm, Spark-Streaming, etc. Experience with AWS cloud services: EC2, EMR, RDS, Redshift Experience with stream-processing systems: Storm, Spark-Streaming, etc.
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Nice-to-Have: Experience with a variety of mainframe databases (DB2, IMS, VSAM, Adabas, Datacom, IDMS) and familiarity with modern databases/platforms (Postgres, MySQL, Oracle, SQL Server, MariaDB, BigQuery, Snowflake, etc.
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4+ years of data warehousing experience (Redshift or Snowflake) 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud.
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3+ years of experience working in large-scale data integration and analytics projects, including using cloud (e.g., AWS Redshift, S3, EC2, Glue, Kinesis, EMR) and data-orchestration (e.g., Oozie, Apache Airflow) technologies.
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Solid understanding of cloud data services: AWS services such as S3, Athena, EC2, RedShift, EMR, EKS, RDS and Lambda. Solid understanding of cloud data services: AWS services such as S3, Athena, EC2, RedShift, EMR, EKS, RDS and Lambda.
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Microsoft SQL Server Integration Services (SSIS), MySQL, Oracle, Nuix, Relativity. At least 7 years of experience with development against enterprise-grade RDBMS platforms such as MS SQL Server, Oracle, MySQL, etc.
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Must have Exp. in Redshift, Cloudera, Snowflake and Databricks. Must have Exp. in Redshift, Cloudera, Snowflake and Databricks. JD : Big Data Architect. Minimum 12years of experience as technical architect and should have designed big data solutions on Hadoop based technologies specially Cloudera.
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Experience with data pipeline development and management and data warehousing (Redshift, Snowflake) is a must. Data Architecture Leadership : Lead the design, implementation and operation of robust data architecture, ETL/ELT pipelines, and data warehousing strategies using Airflow and AWS cloud services.
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6+ years of experience and expertise in advanced cloud managed databases such as Redshift, Aurora PostgreSQL, DynamoDB, Aurora MySQL, etc. 12+ years of working experience in various database technologies – Relational DB (Oracle, MS SQL Server, MySQL, etc.
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Vydia is a wholly-owned division of gamma., the artist-first multimedia platform providing creative and business services across all artistic and commercial formats founded by CEO Larry Jackson and President Ike Youssef.
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Net Core, EF core, Dapper, DataLake, Redshift, Docker/Kubernetes container services. SQL development (SSMS), Microsoft Power BI Stack (SSIS, SSAS, SSRS) Required 5 Years. Question 3 Please confirm that candidate can come for a round-one, in-person technical interview.
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Plan and execute large scale data migration from legacy databases (IBM Netezza) to Cloud DBs (Amazon Redshift) and Cloud Datalakes (AWS S3), implement the data compression mechanism for optimal storage of data to reduce the storage cost.
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Prior experience with any Cloud Data platform (Snowflake, Azure Synapse, Redshift, Big Query etc.) Experience with any Data Integration/ETL/ELT technologies like Informatica, Talend etc., and Data Visualization/BI Tools like Tableau, Power BI would be plus.
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