Are you exceptional in Leading Data Engineering with experience on Azure, DataBricks?

If so, this could be the career opportunity for you !!

We are looking for motivated Leaders, comfortable within an innovative environment, capable of taking initiative and driving new ideas forward.

Do you have the ambition, resilience and passion for how digital & analytics can impact healthcare / insurance & wellness?

Data Engineering Lead (Azure, DataBricks)

• Lead development and production deployment of enterprise-level analytic data products (also potentially pilots and proof of concepts), determining appropriate design strategies and methodologies.
• Find creative solutions to challenging problems involving factors with potentially broad implications; reflecting on solutions, measuring impact, and using that information to ideate and optimize.
• Execute data strategies with an understanding of enterprise architecture, consumption patterns, platforms and application infrastructure.
• Develop business partnerships and influence priorities by identifying solutions that are aligned with current business objectives and closely follow industry trends.
• Communicate with partners, describing technology concepts in ways the business can understand, documenting initiatives in a concise and clear manner, and empathetically and actively listening to other's thoughts and ideas.
• Partner with data management & information security colleagues to ensure the protection of highly sensitive datasets.
• Maintain relationships with partner teams to ensure needs are met and impacted areas plan work accordingly.
• Present analysis and recommendations to help influence strategic decisions.
• Lead and take action, inspire and motivate others, and be effective at influencing team members.
• Guide and coach team members, focusing on individual's professional development as well as overall team health and technical proficiency.

In return for this excellent career opportunity, we ask that you have the following:

• Relevant work experience building, managing, and leading high-performing, diverse, collaborative, and geographically distributed data engineering teams.
• Demonstrated ability as a strategic technical partner, working collaboratively with data analytics, data science, product, engineering, and other cross-functional partners, to plan, prioritize, and achieve company goals.
• Experience starting, leading, and evolving technical forums, with effective soft skills, as well as representing data engineering and architectural considerations in cross-team settings.
• Experience developing efficient and scalable production software in Python, Java, or other programming languages commonly used in data engineering
• Understanding of event-driven and/or streaming workflows with tools like Kafka and Spark Aptitude with ETL concepts and tools, including experience ingesting, processing, and transforming a variety of data at scale Proficiency with SQL and NoSQL databases, data warehousing concepts, and cloud-based analytics databases.
• Experience with some of the following tools & platforms (or similar): Azure (ADLS, ADF, AKS, Synapse, Purview), Databricks, Python, JavaScript, Kafka, dbt, Terraform, Snowflake, SQL, Jenkins, Github, Airflow, MLFlow Knowledge
• Experience with the some of the following concepts: Real-time & Batch Data Processing, Workload Orchestration, Cloud, Datalakes, Data Security, Networking, Serverless, Testing / Test Automation (Unit, Integration, Performance, etc.), WebServices, DevOps, Logging, Monitoring, and Alerting, Containerization, Encryption / Decryption, Data Masking, Cost & Performance Optimization.

If this speaks to you and you are ready for a new challenge, please send your Resume in MS word format to bennie.yeo@davidgoliath.net

Even if you are not interested, you can still park your CV with us for other IT related positions or forward this Advertisement to your counterparts with the relevant IT related experiences I am looking for.

We Seek to:

• Understand your personal circumstances, needs and ideals
• Present your credentials to our clients only with your permission
• Strategize and consult with you

Your application will be kept with the strictest of confidence.

MOM EA License: 24S2572

Registration ID: R1114115