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Big Data Engineer
Boston - USA
BBig Data - Hadoop - Spark - SQL - Hive - Kafka - ETL - Data Warehouse - Map Reduce - Redshift
Our Client, an emerging start up based out of Boston, are seeking a forward thinking, innovative Data Engineer to join their team.
Responsibilities
* Design robust, scalable and secure data processing systems
* Collaborate with application developers, business experts and analysts to understand requirements and deliver detailed design specifications
* Develop a work plan and estimates while executing in the given time frame
* Troubleshoot all processes whilst in production in order to fix functional bugs or performance issues
* Ensure the data processing systems adhere to relevant standards
* Work with Data Architect to explore constantly evolving tools and technologies, executing sufficient pilots to identify viable options.
Qualifications
* Background in Computer Science or related field
* 6-8 year's experience in data engineering
* Solid experience working in Data warehouse environment
* Experience building ETL pipelines, preferably with Talend
* Experience building data lake systems
* Solid understanding of SQL and NoSQL databases
* Solid understanding of ANSI SQL and procedural SQL including performance tuning
* Good understanding of MPP architectures and the Hadoop Big data ecosystem
* Experience working with Amazon Web Services RDS, Redshift, Data Pipelines, SQS etc
* Proficiency in UNIX shell scripting
* Proficient with at least one of the following programming languages - Python, Java, Scala
* Good understanding of algorithms and data structures
* Experience working with structured and unstructured data
Big Data - Hadoop - Spark - SQL - Hive - Kafka - ETL - Data Warehouse - Map Reduce - Redshift
If you would like to hear more about this position, please apply and I would be happy to provide more details.
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