About the role
We are looking for a highly skilled Senior Data Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing, implementing, and managing data pipelines and data warehouses. As a Senior Data Engineer, you will be responsible for optimizing data workflows, ensuring data quality, and integrating various data sources to support our business objectives.
About the project
The client is a prominent player in the pet tech industry. Their dedication to solving problems and providing intelligent insights for pet owners is evident in their range of products.
Who are we looking for?
Skills & Experience
- Bachelor’s degree in Computer Science, Engineering, or a related field;
- 5+ years of experience in data engineering or a similar role;
- 5+ years architecting data pipelines (ETL/ELT) in AWS;
- 5+ years developing data ingestion, transformation, and analytics pipelines with AWS;
- 4+ years building serverless and containerized backend applications;
- 4+ years of experience with Python;
- Experienced with time series data forecasting and modeling with Machine Learning techniques;
- Expert level experience with AWS web services - IoT core, Kinesis data streams, Kinesis firehose streams, Redshift, S3, DynamoDB, ECS, Lambda, Glue, Athena;
- Excellent problem-solving skills and the ability to work independently and in a team environment;
- Fluent in English and excellent communication skills.
Nice to have
- Experience with Data Bricks;
- Knowledge or Experience with AWS Timestream;
Responsibilities
- Design, develop, and maintain scalable data pipelines and ETL processes using tools such as Airflow and AWS Glue;
- Develop and maintain robust data pipelines to ingest, process, and transform large-scale time series data;
- Manage and optimize data storage solutions and data warehouses, including Amazon Redshift and Dynamo DB;
- Implement and oversee data integration strategies using AWS services such as S3 and Lake Formation;
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions;
- Ensure data quality and integrity through rigorous testing and validation processes;
- Stay up-to-date with emerging technologies and best practices in data engineering.
What we offer
Work:
- Flexible working hours;
- Direct communication with C-levels;
- Collaborative, friendly team environment;
- Hybrid work;
- Company equipment provision;
Life:
- Maternity and paternity leaves;
- Proxet Culture Club events;
- Company social events;
- Annual corporate parties;
Health:
- Comprehensive medical insurance and sports benefits;
- Mental health program with private consultations;
- Live webinar with therapists;
- Paid sick leaves;
Education:
- Allowances for professional education;
- English language courses with native speakers;
- Internal knowledge-sharing sessions.
About Proxet
Proxet is a professional software development firm trusted by clients from around the world. With our expertise in AI and machine learning, we help businesses reimagine their possibilities and transform ideas into tangible digital solutions. By providing core services with an emphasis on data practices, we shape the future, one step at a time.
If you’d like to join our Proxet Nation and work closely with high-level professionals and our engineers, fill in the form!
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