Design, develop, and implement data solutions to derive actionable insights.
Guide a team of data engineers and collaborate with cross-functional teams.
Gather and process raw, structured, semi-structured and unstructured data.
Implement CI/CD pipelines for automating data solutions delivery.
Collaborate with data scientists and analysts to translate business requirements into technical solutions.
Ensure data integrity and performance through modeling techniques.

Bachelor’s or master’s degree in computer science, Engineering, or a related field.
Proven experience (8+) in a data engineering role.
Strong proficiency in SQL, Python and Spark programming languages.
Strong experience with cloud platforms such as AWS, Azure, or GCP is a must.
Hands-on experience with big data technologies such as Hadoop, Spark, Kafka, and distributed computing frameworks.
Solid understanding of data modeling concepts, data warehousing architectures, and data management best practices.
Relevant certifications (e.g., Azure, databricks, snowflake) would be a plus.

Lead Data Engineer

Key skills