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 competitivenessPopular data-engineer role, metro location, and broad skillset create moderate applicant competition.
Data engineering skills transfer well across industries; CPG domain knowledge moderately increases sensitivity.
Explicit 7–11 years plus mandatory PySpark, cloud, SQL, and Airflow enforce stringent shortlisting filters.
Job Description
Structured overview of role & requirementsAbout This Role
Lead design and development of complex ETL/ELT pipelines using PySpark, Python, and SQL.
Architect and manage scalable, reliable, and cost-efficient cloud-based data warehouse solutions on AWS, Azure, or GCP.
Lead and mentor a team of data engineers, drive adoption of in-house tools, and collaborate with various stakeholders to deliver actionable data insights.
Minimum Requirements
7+ to 11 years of experience in data engineering with a focus on cloud-native data solutions.
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
Proven expertise in Python, PySpark, SQL, and experience with cloud data services (AWS, Azure, or GCP).
Must be located in Bangalore, India (Circana India Office).
Ideal Candidate Profile
Experienced in leading data engineering teams and managing large-scale cloud data platforms with performance tuning and governance expertise.
Strong background in building and enhancing internal/in-house data processing tools and automation.
Comfortable working cross-functionally with data scientists, analysts, and business teams in an Agile and DevOps environment.