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Demonstrated multi-year experience with AWS tech stack (Glue, S3, Athena, Redshift), Salesforce, Informatica, Snowflake, Tableau and MuleSoft. Experience with Salesforce, AWS Redshift, Snowflake, Informatica, Tableau, MuleSoft.
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Data & Storage – S3, Athena, PostgreSQL, Elasticsearch/OpenSearch, Dynamo, Redshift, MongoDB. Data & Storage – S3, Athena, PostgreSQL, Elasticsearch/OpenSearch, Dynamo, Redshift, MongoDB.
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Expertise in AWS cloud services relevant to healthcare, including Redshift, Athena, S3, Glue, Lambda, and IAM. Lead the migration of our on-premise SQL Server data warehouse to a suitable AWS solution (e.g., Redshift, Athena.
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Transform lake house data into consumable datasets within Athena and Redshift platforms. Proficiency tuning ETL processes and warehouse databases (such as RedShift) Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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Understand data lakehouse technologies like Iceberg, Databricks, Redshift Spectrum, Athena and Snowflake. Experience developing applications/utilities using Python, Java, or Scala leveraging tools like Presto, AWS Athena, Spark or AWS Glue.
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Experience with data warehousing such as Redshift Snowflake or Dremio. · AWS experience particularly data services such as Glue Lake Formation EMR Event-Bridge Athena. Required Skills: Python, MWAA (Airflow), Spark Optimization, AWS Glue, AWS EC2, Apache Spark.
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Deep experience using SQL, Python, and SparkHands-on experience with Big-data technologies (e.g. Redshift, Athena, Glue, EMR, Kinesis, Step Function, or equivalent in other web services.
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Working knowledge with primary AWS Services like S3, Lambda, Batch, Glue, Athena, EC2, EBS, CloudWatch, CloudTrail, ECS, ECR, EMR, IAM, SNS etc. 5+ years of experience in Database Engineering primarily in AWS Redshift, RDS/Aurora, DynamoDB, DMS, Glue.
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Amazon Redshift, Amazon Athena, MongoDB, Apache Hive), interest in server architectures and monitoring, very good knowledge of Python or Java as well as SQL / NoSQL, initial experience with container solutions (e.
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Experience with AWS services such as Athena, Glue DataBrew, Lambda, S3, DynamoDB NoSQL, Relational Database Service (RDS), Amazon EMR and Amazon Redshift, SageMaker, QuickSight, Kinesis, OpenSearch, Deep Learning AMIs, Lake Formation.
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SQL, Python, PySpark , S3, Lambda, EMR, Glue, Athena, EC2, IAM, Redshift, DMS, Airflow, Jenkins, Snowflake. We are looking for a strong Data Engineer cum Architect, to create new modern data ingestion pipelines using latest technologies like AWS Athena, Lambdas, Python, Spark.
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Hands-on experience with AWS and familiarity with services such as S3, RDS, Redshift, Athena, EC2, Lambda, and Glue is a plus. FirstPro is now accepting resumes for a Data Engineer position based in Boston, MA. This role will focus on data governance and data quality initiatives with Snowflake and DBT in a Financial Services environment.
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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. Strong understanding of cloud infrastructure, services and protocols like EHRs, EMRs, Athena, Scala, Databricks, Snowflake, Spark, RDS, glue, Redshift, Apache airflow, SQS, SNS.
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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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Our industry-recognized team is in high demand across data analytics, robotic process automation, and artificial intelligence. This role will perform hands-on delivery of solutions that include artificial intelligence (AI) and cognitive services, ML models, pipelines, databases, and other data analytics components, contributing to the development and unit testing of solutions.
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