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Skilled in modern data platforms (Azure Synapse, Databricks, Redshift, Big Query, Snowflake). Programming languages: Java, Pyspark, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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Manage AWS services such as IAM, EC2, S3, VPC, Lambda, SNS, Cloudwatch, Redshift, RDS, Config, ECS, EKS, ALB, security groups. Sr. AWS Cloud Engineer (2197)at SMX(View all jobs) ( Manage AWS services such as IAM, EC2, S3, VPC, Lambda, SNS, Cloudwatch, Redshift, RDS, Config, ECS, EKS, ALB, security groups.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Expertise in data storage technologies such as relational databases (e.g., PostgreSQL, MySQL), NoSQL databases (e.g., MongoDB, Cassandra), data warehouses (e.g., Snowflake, Redshift), and data lakes (e.g., Amazon S3, Azure Data Lake Storage.
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Data Warehousing Guru: Familiarity with data warehousing solutions like ClickHouse, Redshift, BigQuery, or Snowflake for efficient data storage and retrieval. Data Warehousing Guru: Familiarity with data warehousing solutions like ClickHouse, Redshift, BigQuery, or Snowflake for efficient data storage and retrieval.
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Experience with AWS cloud services: EC2, EMR, RDS, Redshift. Experience with AWS cloud services: EC2, EMR, RDS, Redshift. Experience with data pipeline and workflow management tools: SnapLogic, StreamSets, Azkaban, Luigi, Airflow, etc.
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Key Responsibilities & Experience Required of the Senior Data Engineer: Design, develop, and maintain data pipelines using AWS services such as S3, Glue, Redshift, and EMR. Develop ETL processes to extract, transform, and load data from various sources.
Full-timeRemoteExpandUpdated 8 days ago - UpvoteDownvoteShare Job
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Hands-on of Preferable Tech stack AWS (IAM Management, RedShift, S3, Athena) Hands-on of Preferable Tech stack AWS (IAM Management, RedShift, S3, Athena) Familiarity on Data Governance, Data Lakes, Data Security.
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Experience with Big Data tools such as Redshift, EMR, Spark, etc. As a Senior Principal Software Engineer in the Oracle Cloud Infrastructure Operational Observability team, you will work with teams to define and deliver new patters of operating the OCI cloud with high availability.
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Expertise in AWS data warehousing platforms, such as Amazon Redshift, as well as exposure to other platforms like Google BigQuery. Data Technology Expertise : Leverage extensive knowledge of AWS data services (including but not limited to Redshift, S3, Glue, Athena, and Kinesis) to build and maintain state-of-the-art data solutions that support our analytical and operational needs.
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Experience in building scalable applicationHands-on of Preferable Tech stack AWS (IAM Management, RedShift, S3, Athena)Preferred experience user Authentication, Authorization, Data Encryption, Tokenization and MaskingKnowledge on Data Security toolsKnowledge / Experience with Protegrity is a plusGood Communication skills.
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Strong understanding of cloud infrastructure, services and protocols like EHRs, EMRs, Athena, Scala, Databricks, Snowflake, Spark, RDS, glue, Redshift, Apache airflow, SQS, SNS. Azure Data Factory,Azure DevOps, Azure Storage Data Lake, Extraction, Transformation and Loading.
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MS SQL, Synapse Analytics, Data Explorer, Cosmos, Hive, MR, Redshift, Snowflake, MySQL). MS SQL, Synapse Analytics, Data Explorer, Cosmos, Hive, MR, Redshift, Snowflake, MySQL). Advanced Scripting knowledge on Python, SQL, PowerShell is a must.
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Familiarity with Data Lake, Snowflake, Redshift, Hadoop, ensuring optimal use of analytical data stores. Experience in ETL/ELT, data acquisition and ingestion, data integration, and CDC tools such as Informatica, Talend, CloverDX, DBT, Qlik Replicate or others.
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Experience working with one or more leading database technologies (SQL Server, Oracle, Snowflake, Redshift, etc. The Data Engineer is responsible for the development and support of our enterprise data and analytics tools spanning data warehousing, integrations, master data management, business intelligence, data modeling and data science.
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OLAP (RedShift, Presto, Snowflake) or non-relational (MongoDB, DynamoDB) database technologies. OLAP (RedShift, Presto, Snowflake) or non-relational (MongoDB, DynamoDB) database technologies.
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redshift job in Baton Rouge, LA
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