Senior Data Engineer
Impelsys (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 12–20 LPA
Posted on 31 Aug
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Reach people at Impelsys
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Impelsys you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- 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.
Minimum Requirements
- 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.
Ideal Candidate Profile
- 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.