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- Must have Requirements
- Pyspark or Scala development and design.
- Experience using scheduling tools such as Airflow.
- Experience with most of the following technologies (Apache Hadoop, Pyspark, Apache Spark, YARN, Hive, Python, ETL frameworks, Map Reduce, SQL, RESTful services).
- Sound knowledge on working Unix/Linux Platform
- Hands-on experience building data pipelines using Hadoop components - Hive, Spark, Spark SQL.Experience with industry standard version control tools (Git, GitHub), automated deployment tools (Ansible & Jenkins) and requirement management in JIRA.
- Understanding of big data modelling techniques using relational and non-relational techniques
- Experience on debugging code issues and then publishing the highlighted differences to the development team.
- Experience with Elastic search.
- Experience developing in Java APIs.
- Experience doing ingestions.
- Understanding or experience of Cloud design patterns
- Exposure to DevOps & Agile Project methodology such as Scrum and Kanban.
Are you looking to make a real impact in a global financial project? We are working Data Engineer to join our Clients team.
Company DescriptionOur Client's team is dedicated to fostering a data-driven culture across the organization. Their strategy focuses on protecting the data through robust management policies, engaging colleagues with enhanced training opportunities, and building sustainable capabilities to unlock value for customers.
What We Offer- b2b contract and support of the Contractor Care Team
- Private Medical Care
- Cafeteria system
- Life insurance
