Lead Data Engineer
3 weeks ago
Our client, a Data & AI firm in London is actively seeking a Lead Data Engineer to play a pivotal role in delivering innovative big data solutions to their end clients.
This client-facing role requires a unique blend of technical prowess in Databricks/Snowflake and exceptional communication skills to understand and address clients' diverse data challenges..
Key Responsibilities:
Client Engagement:
- Collaborate directly with our clients to understand their business objectives, data challenges, and technical requirements.
- Translate our client's needs into effective and scalable Databricks or Snowflake-based data engineering solutions.
- Foster strong client relationships through clear and proactive communication.
Solution Design and Implementation:
- Lead the design and implementation of robust data processing workflows using Databricks or Snowflake
- Develop and deploy ETL (Extract, Transform, Load) processes to ensure efficient and accurate data delivery.
- Optimize data workflows for performance, scalability, and cost-effectiveness.
Technical Expertise:
- Demonstrate in-depth expertise in Databricks or Snowflake, Apache Spark, and related big data technologies.
- Stay informed about the latest industry trends and advancements in data engineering.
Quality Assurance:
- Conduct thorough testing and validation of Databricks or Snowflake solutions to ensure data integrity and reliability.
- Collaborate with our clients and internal teams to troubleshoot and resolve technical issues.
Documentation:
- Create and maintain comprehensive technical documentation for implemented Databricks or Snowflakesolutions.
- Provide training and knowledge transfer to our clients and internal team members.
Innovation and Collaboration:
- Identify opportunities for innovation and improvement in data engineering processes.
- Collaborate with cross-functional teams to contribute to the overall success of our projects.
Qualifications:
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Proven experience in data engineering with a focus on Databricks and Apache Spark.
- Strong programming skills, preferably in Python or Scala.
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and associated data services.
- Excellent communication skills with the ability to convey technical concepts to non-technical stakeholders.
- Proven problem-solving skills and a proactive approach to addressing challenges.
Preferred Qualifications:
- Databricks certification or relevant professional certifications.
- Experience in a client-facing role within a consultancy or similar environment.
- Familiarity with start-up culture and the ability to thrive in a dynamic and fast-paced environment.
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