Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 brand, popular Data Scientist title, mid-level metro role with broad data engineering skills.
Enterprise-scale data engineering focus makes background moderately important and somewhat industry-specific.
Mandatory large-scale data engineering, Spark, SQL, CI/CD and production support skills, raising strictness.
Design, develop, and maintain scalable ETL/ELT pipelines using SQL, Python, Spark, and related technologies to support enterprise data and analytics initiatives.
Implement data quality controls, testing frameworks, and monitoring to ensure data availability, accuracy, and reliability across platforms.
Participate in technical design reviews, code reviews, platform upgrades, and collaborate with cross-functional teams to deliver scalable data solutions.
Proficient in SQL and Python with hands-on experience in large-scale data processing and data engineering.
Experience designing and developing ETL/ELT solutions and knowledge of data modeling and database design.
Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, Mathematics, Statistics, or related field.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in working with cloud-based or modern enterprise data platforms and distributed data processing using PySpark or Apache Spark.
Familiar with software engineering best practices including version control, CI/CD pipelines, and DevOps tools like GitLab or Jenkins.
Able to collaborate effectively across technical and business teams, with a strong focus on delivering high-quality, scalable data solutions.