Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Popular data-engineer title, mid-level experience band, and Bangalore metro drive high competition.
Core data engineering skills transferable, but Treasure Data and marketing-data experience increase domain specificity.
Mandatory 5+ years and specific tech stack including Treasure Data, SQL/Python, Redshift increases strictness.
Develop and maintain data feeds and ETL tasks, including troubleshooting and proposing solutions with minimal supervision.
Design and maintain data architecture aligned with business needs, including documentation and QA testing plans.
Collaborate with engineering team and business stakeholders to refine requirements and support data analysis and reporting as needed.
5+ years of experience in a data engineering role.
Bachelor’s degree or equivalent relevant qualification.
Proficiency in SQL, Python, Presto/Trino, and experience with PostgreSQL, AWS Redshift.
Experience with Treasure Data customer data platform and AWS services such as S3, Redshift Spectrum, Lambda, Glue, and EC2.
Comfortable working independently and collaboratively in agile environments employing Scrum or Kanban methodologies.
Experienced in supporting marketing data needs, especially familiarity with Eloqua, Salesforce, and marketing-related datasets.
Skilled in using management and collaboration tools like Jira, Confluence, Git/Bitbucket, and able to perform QA tasks and automate workflows.