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Experience with cloud-based data services such as AWS (EC2, Glue, EMR, RDS, Redshift, etc.) Experience with data integration services solutions from vendors such as Informatica, MuleSoft, Talend, TIBCO, etc.
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Hands-on software development experience with Java, J2EE, Python, Spring, Spring Boot, Hibernate; REST Services and Advanced SQL, AWS cloud services, including EC2 ECS, SQS, S3, Lambda, RDS and EMR.
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5+ Administration experience of distributed computation and streaming frameworks, like Kafka, Cassandra, Elasticsearch, Flink, Storm, Spark, and cloud services EMR, Dataproc, Elasticache, AWS RDS, GCP SQL or similar.
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Profound knowledge of AWS Data services (eg: Redshift, S3, EMR, Glue, RDS, Kinesis, etc.) Expertise with multiple platform stacks and tooling (Databricks, Snowflake, DBT, Airflow Orchestration, etc.
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Benefits package includes: Medical insurance, PPO, HSA, Wellness benefits, Vision insurance, Dental insurance, Paid maternity leave, Paid paternity leave, Family Bonding Time, Disability insurance, Life insurance, AD&D, Short-Term disability, Paid time off, Pet insurance benefits and more.
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Strong knowledge and established experience with AWS services including but not limited to: S3, EC2, RDS, Lambda, Cloud Formation, Kinesis, Data Pipelines, EMR, Step Functions, VPC, IAM, and Security Groups.
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AWS cloud services (EC2, EMR, RDS, Redshift), Data streaming systems (Storm, Spark-Streaming, etc.) Alaska Northstar Resources (ANR) is currently seeking a fully remote Data Engineer to join our team on an exciting and long-term program supporting a US government program.
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The Commonwealth of Pennsylvania is looking for a Senior Data Architect/Engineer to join its team of analytics professionals to support its Pennsylvania Longitudinal Data System (PALDS) data integration services as well as system deployment and management efforts.
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Work with AWS big data technologies including EMR, Glue, S3, EKS, Lambda, Athena, RDS. 6+ years’ experience working within the AWS Big Data/Hadoop Ecosystem (EMR, Glue and Athena.
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Hands-on experience with AWS services: AWS Athena, AWS DynamoDB, AWS DocumentDB, AWS RDS, AWS Redshift. Utilize AWS services like EMR, MSK, Kinesis, and others for scalable data processing.
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SQL, Python, PySpark , S3, Lambda, EMR, Glue, Athena, EC2, IAM, Redshift, DMS, Airflow, Jenkins, Snowflake. Migrate data from traditional relational database systems to AWS relational databases such as Amazon RDS, Aurora, and Redshift.
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Hands on experience with AWS services including CloudFormation, EC2, EMR, IAM, KMS, Lambda, RDS, and S3. Excellent software development experience using Bash, Java, JavaScript, Python, Scala and various development frameworks including Vue.js, AngularJS, Bootstrap, Spring Boot, Spring Data, and Spring MVC.
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Cloud Services and Infrastructure: Utilize AWS cloud services (S3, EC2, RDS, EMR) effectively in data engineering tasks. Data Storage and Processing: Knowledge in managing data lakes, warehouses (e.g., Snowflake, Databricks, Redshift), and big data frameworks for batch and streaming architectures.
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3+ years of experience designing and building solutions utilizing various Cloud services such as EC2, S3, EMR, Kinesis, RDS, Redshift/Spectrum, Lambda, Glue, Athena, API gateway, etc. 3+ years of experience in SQL, data transformations, statistical analysis, and troubleshooting across more than one Database Platform (Cassandra, MySQL, Snowflake, PostgreSQL, Redshift, Azure SQL Data Warehouse, Databricks, etc.
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Experience with multiple platform stacks and tooling (Databricks, Snowflake, DBT, Airflow Orchestration, etc.) LTK believes diversity, equity, and inclusion are fundamental obligations that strengthen our team.
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