Java with Hadoop and Spark - VISA
Java with Hadoop and Spark - VISA
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Job Description
Job Title: Senior Data Engineer/Developer
Number of Positions: 2
Job Description:
The Senior Data Engineer will be responsible for designing developing and maintaining scalable data pipelines and building out new API integrations to support continuing increases in data volume and complexity. They will collaborate with analytics and business teams to improve data models that feed business intelligence tools increasing data accessibility and fostering datadriven decision making across the organization.
Responsibilities:
- Design construct install test and maintain highly scalable data management systems & Data Pipeline.
- Ensure systems meet business requirements and industry practices.
- Build highperformance algorithms prototypes predictive models and proof of concepts.
- Research opportunities for data acquisition and new uses for existing data.
- Develop data set processes for data modeling mining and production.
- Integrate new data management technologies and software engineering tools into existing structures.
- Create custom software components and analytics applications.
- Install and update disaster recovery procedures.
- Collaborate with data architects modelers and IT team members on project goals.
- Provide senior level technical consulting to peer data engineers during data application design and development for highly complex and critical data projects.
Qualifications:
- Bachelors degree in computer science Engineering or related field or equivalent work experience.
- Proven 58 years of experienceas a Senior Data Engineer or similar role.
- Experience with big data tools: Hadoop Spark Kafka Ansible chef Terraform Airflow and Protobuf RPC etc.
- Expert level SQL skills for data manipulation (DML) and validation (DB2.
- Experience with data pipeline and workflow management tools.
- Experience with objectoriented/object function scripting languages: Python Java Go langetc.
- Strong problem solving and analytical skills.
- Excellent verbal communication skills.
- Good interpersonal skills.
- Ability to provide technical leadership for the team.
Employment Type
Full Time
