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Protocol Intelligence
Data-driven signals on your job's competitivenessPopular mid-senior data role in Bangalore with broad cloud/PySpark requirements increases applicant competition.
Core data engineering skills are transferable, but CPG analytics and in-house tools create moderate domain specificity.
Explicit 7–11 years plus mandatory PySpark, cloud, and leadership skills enforce strict filters.
Job Description
Structured overview of role & requirementsAbout This Role
Lead design, development, and optimization of cloud-based data warehouse and analytics platforms using PySpark, Python, and SQL.
Architect and manage scalable, reliable, and cost-efficient data warehouse solutions on Cloud platforms (AWS, Azure, GCP).
Lead and mentor a team of data engineers while collaborating with cross-functional stakeholders to deliver actionable insights and drive technical excellence.
Minimum Requirements
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
7+ to 11 years of experience in data engineering focused on cloud-native data solutions.
Proven expertise in Python, PySpark, SQL, and Cloud platform data services (AWS, Azure, or GCP).
Location requirement: Circana India Office, Bangalore; Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced leader capable of managing teams and driving data engineering best practices in an Agile environment.
Strong background in cloud data warehousing, data modeling, and distributed systems with hands-on experience in orchestration (Apache Airflow) and BI tools (Power BI, Tableau).
Strategic thinker involved in roadmap development and cross-functional collaboration across data science, analytics, and business teams.