Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Own the end-to-end design, development, and delivery of complex cloud-based data pipelines ensuring scalability, reliability, and performance.
Collaborate with architects and stakeholders to translate business needs into technical data solutions and contribute to data architecture design and review.
Provide mentorship and technical leadership to data engineering teams and define best practices for data modeling, transformation, and governance.
Minimum Requirements
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
8+ years of data engineering experience with leadership in designing cloud-native data systems.
Strong expertise in Python, SQL, Apache Spark, and at least one cloud platform (Azure, AWS, or GCP).
Experience with Big Data, DataLake, DeltaLake, Lakehouse architectures, and proficiency with databases like PostgreSQL, Redshift, Snowflake, or NoSQL.
Ideal Candidate Profile
Experienced leader capable of mentoring and defining best practices in large scale cloud data engineering projects.
Skilled in optimizing and scaling data ingestion and transformation frameworks within cloud environments.
Effective collaborator who can influence data-driven decisions and contribute to enterprise-wide data architecture.