Data Engineer - Senior Associate (F/H)

Company Description

As a digital business transformation partner, we’ve spent nearly three decades utilizing the disruptive power of technology and ingenuity to help digitally enable our clients' business in their pursuit of next. Always through radical customer centricity and an outside-in mindset. We’ve built a history of digital firsts… 

• we helped a bank launch the world’s first Internet Banking Offering
• enabled an Airline to become the first to allow online check-in and seat selection
• launched the first online share Trading Platform
• created the first secure transaction for money online

We bring a startup mindset and agile methods to both established companies and the public sector to unlock value in ways that delight their customers and improve their operational effectiveness. Our approach to transformation is built from outside-in, challenging conventions and uniquely fusing of strategy and consulting, experience, data science and engineering with an enduring culture of creative problem-solving.

Job Description

Role

As a Senior Associate with our Data Engineering group, you will be responsible for the design and implementation of high end software products/services that enables the enterprise scale digital transformation of many of the biggest companies in the world.
Your role will be focused on delivering solutions that leverage large scale data ingestion, processing, storage/querying, in-stream & batch analytics. As part of a team, you will deliver world-class solutions designed by our senior architects by estimating, designing, coding, testing, deploying and ensuring scalability and performance using the latest frameworks and platforms
You will also be involved in building technology prototypes for validation and assess technical designs for functional & non-functional completeness.
As a hands-on technologist with a strong programming background you will be excited to join a super talented and supportive community of Data Engineers who are passionate about building the best possible solutions for our clients and endorse a culture of life-long learning and collaboration.

What you’ll bring:

• Good experience with Data related technologies, to include Big Data and data-related Cloud services (AWS / Azure / GCP)
• Good Hands on experience in at least one distributed data processing framework e.g. Spark (Core, Streaming, SQL), Storm, Flink etc
• Expertise with one or more of Java (preferable) Scala and Python programming languages
• Good data modelling experience to address scale and read/write performance
• Hands-on working knowledge of NoSQL and MPP data platforms like Hbase, MongoDb, Cassandra, AWS Redshift, Azure SQLDW, GCP BigQuery etc.
• Working knowledge of data platform related services on at least 1 Cloud platform to cover IAM and data security
• Hands-on skills building DevOps pipelines for data solutions, including automated testing

Qualifications

• You have a Bachelor’s/Master’s Degree in Computer Engineering, Computer Science, or a related field
• You enjoy client facing and/or consulting roles
• You are fluent in French (verbal and written, business environment, complex concepts) as well as English
• You have good communication and presentation skills
• You have good general analytical and problem solving skills
• You pick up new technologies quickly, compare/contrast by way of POCs as well as research
• You are a self-starter who requires minimal oversight and are able to prioritize and manage multiple tasks

You also likely have some of the following:
• Sound awareness of the larger data technology ecosystem including Hadoop, open-source frameworks as well as cloud services across batch and stream processing
• Experience of tuning and optimizing big data solutions
• Experience of data security (at-rest/in-transit)
• Knowledge of distributed messaging frameworks like ActiveMQ / RabbiMQ / Solace/ Kafka, search & indexing and Microservices architectures
• Exposure to data governance, catalog, lineage and associated tools
• A certification in one or more cloud platforms or big data technologies
• Demonstrated active participation in the Data Engineering thought community (e.g. blogs, key note sessions, POV/POC, hackathons)