Are you passionate about data engineering and the challenges of building complex data systems? Engineered systems that need to run big corporations and younger start-ups alike.
My client is looking for Cloud Data Engineers to build data solutions, ranging from data warehousing to big data platforms.
Your primary responsibilities will be to implement solutions in coordination with the rest of the team working on different layers of the solutions architecture.
Therefore, a commitment to collaborative problem solving, sophisticated design, and a quality product are essential.They strongly believe in and follow Agile software development and DevOps best practices and principles.
The successful candidates will build high-quality, innovative and fully performing data solutions in compliance with best practices, standards, current technology stack and technical design.
Basic QualificationsRelevant qualificationAt least 2 years experience on Amazon AWS At least 3 years of experience in developing data ingestion, data processing, data engineering and analytical pipelines for big data, relational databases, NoSQL and data warehouse solutionsExperience with public cloud architectures, pros / cons, and migration considerationsHands-on experience in AWS and Big Data technologies such as AWS EC2, AWS S3, AWS Lambda, Spark / SparkSQL, and streaming technologies such as Apache Kafka, AWS Kinesis, Apache NiFI etc.
Hands-on experience in programming languages such as Java, C#, Node.js, Python, PySpark, SQL, Unix shell / Perl scripting etc.
Experience working with DevOps tools such as GitHub, GitLab, Jenkins, CodeBuild, CodePipeline, CodeDeploy, etc.Methodologies and FrameworksData Integration (ETL and ELT)Enterprise Data Warehousing and Enterprise Data LakeData Management Data Visualisation and PresentationSoft SkillsGreat communication skillsStrong knowledge of the financial services industry, ideally in a consulting roleAbility to work in different project methodologies : Waterfall and / or Agile