Data Analytics Engineer - Cloudera/Hadoop/Python
Posted on Jul 16, 2021 by RM IT Professional Resources AG
Data Analytics Engineer - Cloudera/Hadoop/Python/Financial Services - (w/m) this is a long term contract opportunity for an experienced Engineer to join globally operating Basel based company in the financial sector.
- 5+ years' work experience in Big Data technology space (Cloudera stack) with main focus on building data ingestion pipelines and simulating ETL or ELT workloads for data warehouse or data lake architecture
- Previous experience buiding Data Lakes
- Experience in designing and developing large-scale distributed applications using HBASE, Hadoop, Spark and Scala aligned with exposure to development using open-source big data tools such as Hadoop, Hive, Spark, HBase, Kafka, Impala and ELK
- Expertise in data pipeline and workflow management tools such as Airflow, RunDeck and Nifi as well as in relational SQL and NoSQL databases like SQL Server, Postgres and Cassandra
- Proficiency with object-oriented/object function Scripting languages such as Python, Java, C++
- Profound background in Automated Testing, Test-driven Development, debugging, troubleshooting and optimizing code
- Extensive experience with design and implementation of ETL/ELT framework for complex warehouses and marts
- Languages: English, fluent in written and spoken
- Providing implementation support on variety of data management and analytics projects using the company's approved databases and analytical technologies
- Developing required code for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and 'big data' technologies
- Translating functional and technical requirements into detail design, as well as loading and presenting disparate datasets in multiple formats/sources including JSON
- Participating and contributing in overall data architecture and the design of Big Data & Advance Analytics solutions
- Developing end-to-end data pipelines, defining database structure and applying business rules, functional capabilities, security and data retention requirements
- Cooperating with stakeholders including the business area sponsors, product owners, data architect, data engineers, project managers and business analysts in order to assist them with their data-related technical issues and support their data needs
- Remaining up-to-date with industry standards and technological advancements in order to improve the design and development of system architectures
Location: Basel, Switzerland
Does this Spark your interest? Then take the next step by sending us your CV as a Word document and a contact telephone number on which you are reachable during working hours.
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