AWS CDC ETL Experience Spark RDBMS Engineer (Jobs in Atlanta, GA)   Requirement id 93928 Job title Engineer Job location in Atlanta, GA Skills required AWS, Big Data, CDC, ETL Experience Spark RDBMS Open Date 17-Jun-2019 Close Date Job type Contract Duration 6 Months Compensation DOE Status requirement --- Job interview type --- Apply    Email Recruiter: coolsoft Job Description Engineer: AWS, Big Data, CDC, ETL Experience Spark RDBMS Description: Responsibilities AWS Big Data Engineer Any location is OK as long as they live near a major airport. Will work from home when not traveling. Rate is Open send strong candidates that will roll perm in the 200K or less range. Job Description Kinect Consulting is looking to hire an experienced and highly motivated AWS Big Data engineer to design and develop data pipelines using AWS Big Data tools and services and other modern data technologies. In this role, you will play a crucial part in shaping the future big data and analytics initiatives for many customers for years to come! Experience required About the Opportunity You are a motivated data engineer who is passionate about building at scale on Amazon Web Services (AWS). You thrive at simplifying hard problems and can articulate the solution to both technical and non-technical stakeholders. Key Responsibilities Build end-to-end big data pipelines on AWS, including: • Ingestion/replication via DMS from traditional on-prem RDBMS (e.g. Oracle, MS SQL Server, IBM DB2, MySQL, Postgres) • Real-time ingestion and processing with Kinesis Streams, Kinesis Firehose, and Kinesis Analytics • CDC, ETL and Analytics via AWS Glue, EMR, Spark, Presto, Athena, Flink, Python/PySpark, Scala, Zeppelin • Refactoring of existing RDBMS scripts (e.g. PL/SQL. T-SQL, PL/pgSQL) to PySpark or Scala • Buildout of data warehouse and published data sets using RedShift, Aurora, RDS, ElasticSearch • Scripting with AWS Lambda Experience Requirements • 5+ years of experience in software development with Python, Scala or Java • 3+ years of database development experience with RDBMS • 2+ years of database development experience within Hadoop ecosystem, including Spark • 2+ years of hands-on data engineering on AWS • AWS Big Data Specialty and/or Solutions Architect Professional Certification is a plus • A Bachelors Degree from an accredited college in Computer Science or equivalent   Call 502-379-4456 Ext 100 for more details. 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