Data Analytics Engineer - Python, Cloudera

RM IT Professional Resources AG
yesterday

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Tech stack

Data Architecture
ETL
Data Sharing
Data Systems
Data Warehousing
Software Design Patterns
Hadoop
Hive
Python
Cloudera
SQL Databases
Spark
Data Analytics
Kafka
Data Management
Data Pipelines

Job description

Data Analytics Engineer - Python, Cloudera vacancy for our Basel based client in the Banking sector.

Your tasks:

  • Develop code and implement end-to-end data pipelines with optimal extraction, transformation and loading of data from diverse sources using Spark, SQL and other modern technologies.
  • Collaborate with business analysts and stakeholders to identify, capture, and analyse requirements, translating them into effective technical solutions.
  • Contribute to the design and evolution of the overall data architecture, ensuring alignment with modern data management practices.
  • Maintain and support data pipelines on shared data platforms, while incorporating business rules, security and retention requirements.
  • Support proof of concepts, stay current with industry standards and assist with the adoption of new technologies in the data platform area.

Requirements

  • Minimum 5 years of hands-on experience working with modern data technologies, including building data ingestion pipelines for data warehouses or lake/lakehouse architectures.
  • Proven experience with Python and open-source data technologies such as Hadoop, Spark, Hive, Kafka, or similar, preferably with Cloudera.
  • Strong background in data modelling, design patterns, and building scalable applications.
  • Experience within banking/financial institutions, with knowledge of financial instruments, trade life cycle, or risk management is an advantage.
  • Language skills: English

Your soft skills:

  • Excellent verbal and written communication skills, with the ability to explain complex technical concepts in simple terms.
  • Collaborative mindset and capacity to work effectively within multidisciplinary teams.
  • Strong problem-solving skills and a commitment to continuous learning and improvement.

About the company

This job advertisement was prepared with the assistance of AI technology and has undergone human review and approval. Every application is reviewed personally by our recruiting team - no AI-based screening is used in our selection process.

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