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Hands-on experience with Postgres SQL, RedShift, Redshift spectrum, AWS Glue, Athena, Snowflake utilities, Snow SQL, Snow Pipe, AWS Lambda model techniques using Python. Experience in Data Migration from RDBMS to Redshift/Snowflake cloud data warehouse.
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Metadata capture and catalog services for data lake (S3/ Athena), data warehouses (RDS/ Redshift), Microservices/ APIs. Metadata capture and catalog services for pipeline/ log data for monitoring / support.
$70 - $75 an hourExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Solid experience of AWS services such as CloudFormation, S3, Athena , Glue, EMR/Spark, RDS, Redshift, 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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AWS Glue, Lambda, Athena, Pyspark, Redshift, EMR, AWS RDB, AWS DynamoDB, AWS Glacier, Python. Should have a deep understanding of AWS Services (Redshift, Glue, Lambda, Athena, S3, EC2), Visual Studio, SQL Server, SSIS, Matillion; Python.
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3+ years of hands on development experience in AWS Glue, Lambda functions, AWS Athena, Redshift, Pyspark. Must have working experience with SQL, and databases (e.g.: Postgres, Redshift) implementing Data Models.
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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 APIs to AWS data lake (S3) and relational databases such as Amazon RDS, Aurora, and Redshift.
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies.
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Experience with data warehouse solutions (like BigQuery/ Redshift/ Snowflake) Our Technological Stack includes Airflow, DBT, Python, Snowflake, AWS, GCP, Amplitude, Fivetran, and more. Experience with data warehouse solutions (like BigQuery/ Redshift/ Snowflake.
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Design Data Lake and load the data to Data Lake using ETL and PYSPARK-Work with AWS- EC2, VPC, EBS, Athena, Aurora, RDS, DMS, EMR, S3, Redshift. Use Amazon Redshift Spectrum to Query External Data-Gather requirements from customers and understanding of master data management concepts-Have excellent Administration, Installation experience with Informatica Product suite.
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Familiarity with databases and cloud data warehouses like Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, Databricks, etc. Familiarity with databases and cloud data warehouses like Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, Databricks, etc.
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Data pipeline , ingest, transform, and deliver using S3, Glue, RDS, Redshift, Athena, Lambda. using s3,Glue and Redshift/RDS is needed. Data pipeline , ingest, transform, and deliver using S3, Glue, RDS, Redshift, Athena, Lambda.
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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. 4+ years of data warehousing experience (Redshift or Snowflake.
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Design, develop, and deploy end-to-end data pipelines on AWS cloud infrastructure using services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc. Strong proficiency in AWS services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc.
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Experience with cloud and big data technologies to extract and analyze data (Snowflake, S3, Redshift, Athena, Hive, BigQuery, Spark, etc). Experience with cloud and big data technologies to extract and analyze data (Snowflake, S3, Redshift, Athena, Hive, BigQuery, Spark, etc.
$135,100 - $196,100 a yearExpandApply NowActive JobUpdated Today
redshift job in New York, NY
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