Data Engineer

Data Engineer | London | 4 Months

I am currently looking for a Data Engineer with a background in software development to join a lead technology client of mine. This role will involve building a streaming first data platform improving overall customer engagement and experience.

Responsibilities

· Develop, build scalable and high-performant data enrichment processes, using the right development patterns and continuous deployment/integration practices.

· Collaborate with upstream system architects, data technical specialists, developers, data product managers, and end-users to support and resolve data issues.

· Participate in a DevOps environment (you build it, you run it) by managing and operating real-time and batch data solutions at scale.

· Design, develop, model and create data structures to integrate and prepare for reporting solutions and broader business intelligence application.

· Identify performance and data challenges, suggesting code and architecture improvements.

Experience

· Hands-on coding with significant experience in SQL and in one or more key software languages (e.g. Python, Scala, Java).

· Extensive SQL, all its facets, and have experience working with traditional (e.g. Teradata) or cloud-based data-warehouse (e.g. Redshift, Snowflake).

· Best fit data technologies and approaches to addressing performance, scalability, governance challenges.

· Understand the AWS cloud ecosystem, such as EMR, Lambda, S3, EC2, Cloud Formation, VPC, etc.

· Dimensional modeling concepts and other efficient data representations for optimizing SQL queries.

· Proven background in a variety of data technologies, such as Teradata, Hadoop, Spark, HBase, Hive, Presto and/or ETL frameworks.

· Knowledge of cloud infrastructures automation tools such as CloudFormation and Docker.

Streaming pipelines such as Kafka or Kinesis.

· Experience producing tested, secure, resilient and well-documented applications.

· Excellent interpersonal skills and verbal and written communication skills when working with both business and technical teams.

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