Position: Data Operations Engineer Position
Company: Olsys
Category: Data Engineer
Experience required: 5y
English level: intermediate
Published: 2022-04-01T00:00:00+03:00

Our client is looking for a talented Senior Data Operations Engineer to help build and maintain a healthy and large-scale data pipeline. The responsibilities of Senior Data Operations Engineer are to manage data pipelines for ETL processes and administer related databases and data warehouses, disaster recovery, database performance. The ideal candidate should be self-motivated who is passionate to learn new technologies and apply them to build highly scalable and reliable data pipelines
 
Principle Duties and Essential Responsibilities: 
Experience managing big data platforms or large data warehouses and data bases (MySQL, Snowflake etc)
Assume administrative and operational ownership of AWS-based Database services, including MySQL and PostgreSQL
Conceptualize, build monitoring dashboards, thresholds, alerting to monitor ETL pipelines 
Collaborate with Data Platform engineering team to improve data observability, self recovery of jobs 
Support the high availability and disaster recovery options and work closely with SRE team
Participate and lead efforts involving incident response and root cause analysis for SRE
Serve as a subject matter expert on Database Performance, logging, data security and compliance best practices
Own ETL related issues in production, work and collaborate across Services and engineering team to reduce ETL errors, improve reliability and automate self-healing
 
What you’ll need to be successful... 
5-7 years of experience in managing data warehouse, databases in clouded environment
4-6 years of experience in ETL tools (eg. CopyStorm, Apache Gobblin)
1-2 years experience in supporting and managing snowflake in cost effective way
Experience in managing production environments and managing enterprise dalalakes in the cloud environment
Understand database design, caching, scalability, and disaster recovery
Strong experience in supporting data operation in Public cloud providers (AWS, Google, Azure)
Experience in CI/CD tools

You’ll really stand out if… 

A history of working with cloud-based data platforms.
Strong operational background with experience building and supporting always-on production data platforms.

Why you’ll love working with us:

Committed to customer success and innovation, Aktana is at the forefront of transforming how life sciences companies share information with healthcare providers (HCPs). Our proprietary platform harnesses machine learning algorithms to enable marketing and sales teams to seamlessly coordinate and optimize multi-channel engagement with HCPs. Today, more than half of the top 20 global pharma companies are using Aktana for intelligent engagement.

Aktana is growing fast and looking for exceptional talent to join our team. We are committed to building a diverse workplace in which our employees are empowered to do their best work. We value hard work, transparency, and collaboration – and we like to have fun too! 

Headquartered in San Francisco, we also have offices in Philadelphia, London, Barcelona, Tokyo, Osaka, Shanghai, Beijing, Chengdu, Bucharest, Pune, Sydney, and Sao Paulo.