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Create, extract, and load (ETL) pipelines using Hadoop and Apache Airflow for various production big data sources to fulfill intelligence data availability requirements. Database: Postgres, Elasticsearch, MySQL, MongoDB.
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Experience with Apache Airflow (MWAA), AWS EKS, AWS RDS Aurora (MySQL), Hands-on experience with orchestration and pipeline tools like Apache Airflow, Azure Data Factory, Prefect, FiveTran, or Mage.
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Solid understanding of relational and NoSQL databases (MSSQL, Postgres, MySQL, Snowflake, Cassandra, SparkSQL). Comfort with Apache Airflow. Experience with online game service APIs, particularly Xbox Live, Sony NP, Steam, and Epic Games.
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Proficiency in SQL and experience working with relational databases (e.g., PostgreSQL, MySQL) and data warehousing solutions (e.g., Redshift, BigQuery). Strong programming skills in languages such as Python, Java, or Scala, and experience with data processing frameworks like Apache Spark or Apache Flink.
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O Familiar with the following tools: Python, Python libraries (Pandas), Py Tests, SQL, NoSQL, MySQL, Apache Spark, ETL, Cloud tools: Azure, Google & AWS (e.g. S3 buckets, Glue, Redshift), Data Lakes, GitHub. PowerBI, Tableau, Snowflake, Apache Airflow.
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O Datastores such as AWS Aurora, AWS RDS, AWS DynamoDB, MongoDB, ElasticSearch, Cassandra, Redis, MySQL, Oracle. o Message streaming solutions, such as AWS Kinesis, AWS SQS, AWS SNS, Apache Kafka, RabbitMQ, Apache ActiveMQ.
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Appropriate software/code: Apache Spark, ElasticSearch, R, Python, Kibana. (i.e., Python, MySQL, D3, SPSS, SAS, Visual Basic, R, etc.) IT-Strat has supported multiple clients including the Department of Homeland Security (DHS), Customs and Border Protection (CBP) and Immigration and Customs Enforcement (ICE via both prime and meaningful subcontracts.
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Expertise in at least one flavor of SQL. (We use Amazon Redshift, MySQL, Athena and Snowflake) Familiarity with streaming data technologies for low-latency data processing (e.g. Apache Spark/Flink, Apache Kafka, Snowpipe or similar.
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ETL/ELT: Apache Airflow, AWS Glue, Hadoop. Database Management: MySQL, PostgreSQL, NoSQL, Snowflake. Cloud: GCP ( BigQuery, GCE, GCS) AWS (EC2, S3, Lambda, EMR, Redshift, Athena) Data Analysis Visualization: Tableau Desktop, Looker Studio.
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Experience with other Data Persistence platforms: RDBMS (Postgres, Oracle, MySQL), Distributed SQL Engines (Cassandra, Foundation DB, Cockroach DB), NoSQL (Mongo DB), Hadoop, Data and Software Migration off/to RDBMS, AWS DBs (RDS, DynamoDB, EMR, Redshift, Aurora, etc.
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The work in the Public Service can be broadly categorised into the following sectors: Economic, Social, Security & External Relations, and Administration & Corporate Development. Lecturer in School of Informatics & IT (Data Analytics and Artificial Intelligence.
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Databases - AWS Redshift, AWS RDS MySQL, AWS DynamoDB, Oracle, SQL Server. Orchestration - Apache Airflow (Highly preferred), DBT (Highly preferred) AWS Intermediate level (or above) Certifications preferred - Such as AWS Solution Architect Associate (SAA), AWS Database Specialty, AWS Developer Associate.
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Experience with data pipeline and data integration tools (e.g. Apache Beam, Apache Spark, Apache Flink). Experience with SQL and database technologies (e.g. MySQL, PostgreSQL, Redshift.
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Extensive experience optimizing data streaming, processing and storage utilizing tools such as Amazon EMR, Apache Kafka, Apache Spark, Amazon S3, and Data Lakehouse technologies. Hands on experience developing relational database schemas using databases such as PostgreSQL, MySQL, and SQL Server.
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Web Technologies: IIS, Azure Web Apps, PHP, Apache, Tomcat, Cassandra, Kafka, Nginx, HAProxy, MySQL etc. Strong understanding of regulatory requirements and compliance issues affecting clients related to privacy and data protection, such as PCI DSS, GLBA, Basel II, EU Data Protection Directive, International Cross Border, and U.S. State Data Privacy Laws.
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