Director of Data Engineering

3 weeks ago

United Kingdom SimplifyVMS Full time

SimplifyVMS is a leading global SAAS provider of contingent workforce VMS solutions and is one of the fastest growing extended workforce technology providers globally. SimplifyVMS is a very sophisticated multi-tenant SAAS HR Tech product built on a complex microservices architecture. Our clients are large enterprise Fortune 500/Global 2000 companies and need complex engineering design to meet their expectations.

We are looking for an enthusiastic hands-on technologist to join an exciting opportunity for building a sophisticated data/analytics/reporting platform. As the director of data engineering/analytics/reporting, you will build and evolve the next gen data platform to process and report huge datasets across our client ecosystem. You will own end to end projects to plan, design, and execute critical features of this platform.

and resilient EAI architecture using off the shelf middleware and cloud services.
Collaborating with IT and business partners to understand the application footprint, business flows and integration points across the applications.
Clearly articulate integration best practices, design patterns for error handling, alerting, notifications and recommendations to IT teams and also business sponsors.
Review, monitor project team's adherence to coding standards & implementation framework.
Mentor junior engineers.


You should be an expert with Data warehouse architectures, data modeling, and data processing using distributed compute solutions.

The role will involve leading the core global engineering team of 4-5 resources based in India to develop industry leading solutions. Bachelor's degree or higher in a quantitative/technical field (e.g. Computer Science, Statistics, Engineering).
· 7+ years of relevant experience in building DW/BI systems
· Demonstrated ability in data modeling, ETL development, and Data warehousing.
· Strong experience with Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.)
· Expertise in a BI solution like Power BI
· Hands on experience in modelling databases (particularly nosql), working on indexes, materialized views, performance tuning / optimization of queries, data migration scripts, etc.
· Experience in developing backend components in Python/Java including RESTful APIs with knowledge of JSON based messaging format
· Should be well-versed in SQL, to explore different data sources, clean-up and data pull.
· Understand the use of docker/Kubernetes in developing applications for cloud deployment
· Follow coding best practices with unit testing using established unit test framework - TestNG/JUnit
· Adopt the development agile practice in the team to maintain high quality of code established with code reviews
· Should be able to perform Exploratory Data Analysis and get actionable insights from the data, with impressive visualization (Power BI)
· Experience in building large scale DW/BI systems for B2B SAAS companies
· Experience with open-source tools like Apache Flink and AWS tools like S3, Redshift, EMR and RDS.
· Experience with AI/Machine Learning and Predictive Analytics
· Understanding of budgets and business-planning
· Ability to conduct technological analyses and research
· Excellent team management skills along with ability to deliver outcomes on aggressive timelines.
· Lead the core data engineering and product teams to continue to evolve our SAAS solution.
· Guide the engineering teams on architecture and coding standards to deliver product consistency and quality.
· Develop and maintain software engineering standards and be responsible for delivering the desired outcomes.
· Built a culture of performance and accountability across the teams.
· Build quality assurance and data protection processes
· Attractive compensation plan offers attractive base salary commensurate with experience, bonus and lucrative stock plan.

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