Implementation Engineer (MAAS) - Remote
Primary Skills:
SQL Server and Big data technologies: Hadoop, Spark/Scala, Hive, Impala
Team player, Details oriented, Strong analytical and problem-solving skills
Essential Duties and Responsibilities:
We are recruiting a new team member to join us remotely!
As part of the team, you will work with massive data sets and apply the latest big data technologies. We are dedicated moving to big data platform for our data provisioning, and we are looking to have someone who is passionate about big data technologies and will help us explore the possibilities and be involved working with different dataset streaming and sharing technical knowledge with other team members.
As part of the team, you will:
- Support all daily production tasks for data provisioning of following datasets (LAAD, PTK, REMIT, etc.)
- Investigate data processing issues and make recommendations to resolve
- Monitor/Run ETL jobs and implement changes as need raises
- Support the development and documentation of new and existing processes and policies to support data quality and integrity
- Share technical knowledge with other team members.
- Support the Market Access team for databases, subtenant or access requests
- Think creatively to generate new solutions and make improvements to current processes that deliver value to our team
Required Skills:
- Bachelors Degree in related field (engineering, computer science, data science, etc)
- Entry Level- no experience required beyond degree
- Strong experience with big data technologies and associated tools such as Hadoop, Hive, Impala, etc.
- Proficient in using Spark/Scala
- Exposure with data Import/Export using Sqoop or similar tools
- Experience using Jenkins or similar other automation tools
- Familiar with data visualization and log tools such as Elasticsearch/Kibana/Logstash
- Excellent knowledge of relational SQL and NoSQL databases
- knowledge using SSIS packages, deploy and schedule jobs
- Experience working with Jira/Confluence/GitLab
- Excellent organizational skills and ability to handle multiple activities with changing priorities simultaneously
- Details oriented and strong problem-solving skills
- Team player and able to integrate in an international team
Preferred:
- Bachelor’s in computer science or engineering or information technology
- Coursework or exposure to Big Data Technologies (Hadoop, Spark/Scala, Hive, Impala) and SQL Server