Lead Data Engineer

Lead Data Engineer – Consultant

We are seeking a Lead Data Engineering Consultant with proven experience in leading and developing data engineering platforms. The ideal candidate will possess hands-on expertise in the following areas:

• Extensive enterprise experience with Hadoop, Spark, and Splunk.
• Proficiency in object-oriented and functional scripting, particularly in Python.

• Skilled in handling raw, structured, semi-structured, and unstructured data (SQL and NoSQL).
• Experience integrating large, disparate datasets using modern tools and frameworks.

• Strong background in building and optimizing ETL/ELT data pipelines.

• Familiarity with source control and implementing Continuous Integration, Delivery, and Deployment via CI/CD pipelines.

• Experience supporting and collaborating with BI and Analytics teams in fast-paced environments.

• Ability to pair program and work effectively with other engineers.

• Excellent analytical and problem-solving abilities.

• Knowledge of agile methodologies such as Scrum or Kanban is a plus.
• Comfortable representing the team in standups and problem-solving sessions.

• Capable of driving the creation of technical test plans and maintaining records, including unit and integration tests, within automated test environments to ensure high code quality.
• Promote SRE (Site Reliability Engineering) culture by addressing challenges through data engineering.

• Ensure service resilience, sustainability, and adherence to recovery time objectives for all delivered software solutions.