
Data Engineering Specialist
2 weeks ago
Job Title: Data Engineering Specialist
Job DescriptionA skilled Data Engineering Specialist is required to design, develop and maintain large-scale data pipelines for processing channel activity data from multiple sources. This exciting opportunity involves working on cloud technologies such as AWS, leveraging knowledge of Python and data processing architecture.
This role offers a chance to collaborate with cross-functional teams, ensuring effective ingestion and processing of data from various digital channels.
Main Responsibilities:
- Design and build robust data pipelines using cloud-based infrastructure and orchestration tools.
- Work closely with the team to ensure high availability, scalability and performance of data systems.
- Leverage Python for building automated data engineering solutions and data transformations.
- Collaborate with stakeholders to identify and address complex data-related challenges.
- Contribute to architecture decisions related to data lakes, data warehouses and big data ecosystems.
Required Skills and Qualifications:
- Data Engineering: Proven experience in greenfield environments.
- AWS: Strong hands-on experience with AWS technologies such as Pyspark, Glue, EMR, lambda, Redshift, Athena and S3.
- Python: Proficiency in Python for data processing, automation and pipeline development.
- Big Data Platforms: Experience with big data technologies like Hadoop and Terradata.
- Strong Analytical Skills: Ability to analyse and interpret data from different digital channels.
- Collaboration: Ability to work closely with cross-functional teams, including business analysts, data scientists and stakeholders.
- Problem Solving: Strong problem-solving skills and ability to handle complex data-related challenges.
- Communication: Excellent communication skills, both written and verbal, for documentation and collaboration.
Desirable Qualifications:
- Certifications or experience in AWS Cloud or relevant data engineering tools would be beneficial.
- Experience in working on snowflake would be good to have.
- Knowledge of ingesting real-time data (Apache Kafka) would be advantageous.
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