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Knowledge of AWS technologies specifically MSK, EMR, Athena, Glue, lambdas, API Gateway as well as Python, SQL is a must. 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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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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Amazon Athena is a serverless query service that simplifies analyzing data directly in Amazon S3 using standard SQL. Join us at Amazon Web Services on the Amazon EMR/Athena team to make a difference in the world of Big Data and Analytics.
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Lead the migration of our on-premise SQL Server data warehouse to a suitable AWS solution (e.g., Redshift, Athena). Expertise in AWS cloud services relevant to healthcare, including Redshift, Athena, S3, Glue, Lambda, and IAM.
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Demonstrated multi-year experience with AWS tech stack (Glue, S3, Athena, Redshift), Salesforce, Informatica, Snowflake, Tableau and MuleSoft. Proficiency in SQL and experience with database management systems (e.g., MySQL, PostgreSQL, MongoDB, Redshift, Snowflake.
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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. Works with Opeeka development team and is responsible for developing and evolving SQL server databases to support data collection and data mining necessary for Opeeka’s P-CIS analytics and reporting.
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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. Experience with AWS Database Migration Service (AWS DMS) and migrating RDBMS (SQL Server/Oracle) from On-premise to AWS (Aurora/Redshift.
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SQL, Python, PySpark , S3, Lambda, EMR, Glue, Athena, EC2, IAM, Redshift, DMS, Airflow, Jenkins, Snowflake. Should have a very good hands-on experience in Cloud DB platforms (Snowflake is preferable), Building data pipelines & SQL, Python for Data Engineering.
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Experience and expertise in products using modern analytics cloud-based services and platforms such as AWS Sagemaker, Glue ETL, EMR, Data Wrangler, Glue Catalog, S3, Python, Tableau, Pyspark, SQL, Attunity and other adjacent tools used for data exploration such as AWS Athena and Presto.
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Experience with AWS ecosystem (EMR, EC2, S3, RDS, Redshift, Aurora, Athena, RDS, PostgreSQL). Experience with NoSQL-based, SQL-like technologies (e.g., Hive, Pig, Spark SQL/Shark, Impala, BigQuery.
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Solid understanding of cloud data services: AWS services such as S3, Athena, EC2, RedShift, EMR, EKS, RDS and Lambda. Build the infrastructure required for optimal extraction, transformation and loading of data from a wide variety of data sources using SQL and AWS 'big data' technologies.
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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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Whether you’re telling a data story in ways our clients never imagined or building advanced AI models with automated data engineering, the core purpose will be centered on using data to impact people in a meaningful way.
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With our team, you will be challenged to build scalable solutions, while embracing a fail-forward mentality critical to evolution. This position will work with cutting edge technology, deliver high quality solutions across various industries and collaborate with teams on engagements that range in size and scope.
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