Currently, we are looking for a Senior Data Engineer , who will play a pivotal role in transforming our data infrastructure to ensure seamless experiences for our customers and drive business growth.
Candidate journey: ⭕️ Recruiter call ----> ⭕️ Skills assessment-----> ⭕️ Final Interview Why You'll Love Working at Welltech: Competitive Salary & Benefits: Your skills and experience are highly valued in our compensation package. Inclusive Culture: We foster a supportive and engaging enviro
Currently, we are looking for a Senior Data Engineer , who will play a pivotal role in transforming our data infrastructure to ensure seamless experiences for our customers and drive business growth.
Candidate journey: ⭕️ Recruiter call ----> ⭕️ Skills assessment-----> ⭕️ Final Interview
Why You'll Love Working at Welltech:
- Competitive Salary & Benefits: Your skills and experience are highly valued in our compensation package.
- Inclusive Culture: We foster a supportive and engaging environment where everyone feels supported and inspired.
- Growth & Flexibility: We offer opportunities for career advancement, flexible work arrangements, and a healthy work-life balance.
- Innovation & Creativity: We encourage initiative and innovation, giving you the autonomy to drive positive change and shape the future of health and wellness.
Your professional qualities:
- At least 4 years of technical background
- At least 2 years in Data engineer or Python developer roles
- CI/CD knowledge — Gitlab CI
- Monitoring/logging knowledge (Grafana, Graylog, Data dog)
- Experience in/ with:
AWS Cloud Infrastructure (Redshift + RsSpectrum, S3, MWAA, RDS, Kinesis, SQS, Lambda, Glue).
AWS Redshift administration and optimization.
automation, using Python + SQL
streaming and micro - batching ETL
dbt
GitLab administration
designing and creating API
creating design solutions and large-scale architecture, balancing between various types of constraint
third parties integration (marketing networks, payment systems, various other platforms)
database administration (PostgreSQL, MySQL)
data transformation ( aggregation, enrichment, filtration)
developing structured data marts from raw data
ETL problem solving
- Understanding of queueing mechanisms
- High level of personal responsibility, readiness to commit on products instead of tasks
- English level Intermediate+
Nice to have experience with:
- AWS (EMR, EKS, Athena, EC2)
- DWH (Snowflake, etc.)
- PySpark
- Event schema validation process (Snowplow/ Schema Registry)
- database administration (PostgreSQL, MySQL)
Currently, we are looking for a Senior Data Engineer , who will play a pivotal role in transforming our data infrastructure to ensure seamless experiences for our customers and drive business growth.
Candidate journey: ⭕️ Recruiter call ----> ⭕️ Skills assessment-----> ⭕️ Final Interview
Why You'll Love Working at Welltech:
- Competitive Salary & Benefits: Your skills and experience are highly valued in our compensation package.
- Inclusive Culture: We foster a supportive and engaging environment where everyone feels supported and inspired.
- Growth & Flexibility: We offer opportunities for career advancement, flexible work arrangements, and a healthy work-life balance.
- Innovation & Creativity: We encourage initiative and innovation, giving you the autonomy to drive positive change and shape the future of health and wellness.
,[Participate in project architecture and design creation, code review, CI/CD , Develop, optimize and maintain ETL/ ELT processes to provide data quality and consistency , Collaborate with data analysis and product development teams to ensure data pipelines are efficient, reliable, and scalable , Data integration and delivery , Test new approaches by creating PoC, performing benchmarks , Monitor and troubleshoot data processing systems to ensure they are functioning properly ] Вимоги: ETL, Data analysis, Data pipelines, Product development, Python, GitLab CI, Grafana, Graylog, AWS Cloud, Redshift, AWS S3, MWAA, Amazon RDS, Kinesis, Amazon SQS, AWS Lambda, Glue, AWS Redshift, SQL, dbt, GitLab, API, PostgreSQL, MySQL, AWS EMR, Amazon EKS, Athena, AWS EC2, DWH, Snowflake, PySpark Бонуси та переваги: Work-life balance, Flexible working hours.