Welcome to Welltech – a global leader in Health & Fitness mobile applications. With over 200 million installs and a suite of six innovative apps, we're dedicated to enhancing the health and well-being of millions worldwide. Over the past six years, our diverse and passionate team of over 600 professionals has been driving this mission forward. From intuitive nutrition trackers to groundbreaking fitness solutions, we empower individuals on their transformative journey toward optimal health and happiness.
Imagine making a global impact on health and wellness as part of our team! At Welltech, you'll have the opportunity to shape the future of our products and company, directly influencing the lives of millions. We're at an exciting juncture with a loyal customer base and many opportunities ahead.
Thrive in Our Dynamic Culture:
Currently, we are looking for a Data Platform Technical Lead, who will play a pivotal role in transforming our data infrastructure to ensure seamless experiences for our customers and drive business growth.
1. Participate in project architecture and design creation, code review, CI/CD
2. Develop, optimize and maintain ETL/ ELT processes to provide data quality and consistency
3. Collaborate with data analysis and product development teams to ensure data pipelines are efficient, reliable, and scalable
4. Data integration and delivery
5. Test new approaches by creating PoC, performing benchmarks
6. Monitor and troubleshoot data processing systems to ensure they are functioning properly
1. AWS Cloud Infrastructure (Redshift + RsSpectrum, S3, MWAA, RDS, Kinesis, SQS, Lambda, Glue).
2. AWS Redshift administration and optimization.
3. automation, using Python + SQL
4. streaming and micro - batching ETL
5. DBT
6. GitLab administration
7. designing and creating API
8. creating design solutions and large-scale architecture, balancing between various types of constraint
9. third parties integration (marketing networks, payment systems, various other platforms)
10. database administration (PostgreSQL, MySQL)
11. data transformation ( aggregation, enrichment, filtration)
12. developing structured data marts from raw data
13. ETL problem-solving
⭕️ Recruiter call ----> ⭕️ Skills assessment-----> ⭕️ Meet the hiring manager
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