Cloud Lead Data Engineering
Cloud Lead Data Engineering
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Job Description
Reporting to our VP we are looking for a Cloud Director to work in our Bangalore office. You will be positioned within the growing Cloud team working with Google Cloud Platform to deliver secure robust and scalable data engineering solutions that improve digital marketing performance.
Your primary responsibilities will include:
- Design and implement cloud architectures for data migration infrastructure setup and provisioning on GCP.
- Lead the development and optimization of scalable ETL/ELT pipelines using GCP tools such as BigQuery Dataflow Pub/Sub and Cloud Composer.
- Manage the ingestion and transformation of data from various sources into usable formats for analytics and modelling.
- Ensure data pipelines and storage systems are highperforming scalable and costefficient including query optimization in BigQuery.
- Establish and enforce robust data governance practices to maintain accuracy consistency and security across platforms.
- Automate workflows for monitoring data quality pipeline execution reporting and scaling infrastructure.
- Collaborate with crossfunctional teams to ensure data accessibility and usability for specific analytical and operational needs.
- Provide mentorship to junior engineers sharing expertise and promoting a culture of continuous learning and collaboration.
- Research and implement new technologies to improve data architecture on GCP.
Qualifications :
- Have one or more Google Cloud Platform (GCP) technical certifications.
- Handson experience with GCP services including BigQuery Dataflow Pub/Sub Cloud Composer Cloud Storage and Cloud Run.
- Proficient in designing and deploying cloud infrastructure tailored to marketing use cases.
- Familiarity with APIs and datasets from ad and martech platforms such as Meta Google Marketing Platform and Salesforce Marketing Cloud.
- Advanced skills in SQL and Python for data processing automation and orchestrating pipelines.
- Demonstrated expertise in building and managing largescale ETL/ELT pipelines covering both realtime streaming and batch processing.
- Knowledge of data warehousing principles cloudbased architectures and optimizing performance in BigQuery or equivalent platforms.
- Experience enhancing data infrastructure for both cost efficiency and high performance on GCP.
- A forwardlooking mindset focused on creating adaptable and robust data solutions.
- Understanding of serverside tagging (e.g. sGTM) is a plus but not mandatory.
Note: We emphasise skills expertise and behavioural attributes over years of experience and traditional degrees. If you want to join our collaborative team we invite you to apply today with your resume in English.
Additional Information :
Join Jellyfish and experience a workplace where we prioritise your growth celebrate your contributions and empower you to tailor your work environment to suit your needs.
Reward: Youll receive a loyalty salary increase on your Jellyfish anniversary in addition to joining our discretionary annual bonus scheme.
Custom Work Environment: Work remotely for up to 60% of your days and shape your day between 8am. and 6:30pm with flexible working hours.
Growth Your Way: Grow your career with one paid day each month for selfdevelopment and access to LinkedIn Learning with unlimited online courses.
Family Support: Enjoy 14 weeks of paid leave for primary caregivers and 4 weeks of paid leave for secondary caregivers. We also provide 1000 (or equivalent) towards courses for returning primary caregivers to support your transition back into work.
Unfortunately there has been an increase in fake recruiters impersonating Jellyfish and unlawfully using our brand name. If you are unsure if an email with a job offer you have received is genuinely from Jellyfish or if you suspect any fraudulent activity please report it to .
#LIHybrid
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
