Senior Data Engineer
Senior Data Engineer
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Job Description
Sunsers is a technology consultancy that empowers finance and healthcare leaders to succeed by leveraging cuttingedge software data and AI.
We combine worldclass engineering deep industry expertise and proprietary knowhow to deliver innovative highimpact solutions. Specializing in software engineering DevOps data engineering and data science we design and build AIpowered data platforms and web applications tailored to each clients unique needs.
Trusted by over 60 clients across the US UK and beyond we consistently maintain a 4.9/5 client satisfaction rating with partnerships averaging five years or more.
As a Senior Data Engineer youll play a pivotal role in delivering innovative data solutions for two impactful projects.
In the first project youll design and implement a custom data pipeline for a USbased venture capital firm. This involves integrating data from a CRM system running predictive machine learning models on the dataset and seamlessly feeding enriched insights back into the CRM to empower datadriven investment decisions.
In the second project youll contribute to building a new holistic data platform for a USbased healthcare company. Leveraging AWS services Airflow and dbt youll develop robust data pipelines and scalable architectures that enable comprehensive insight and operational efficiency.
The ideal candidate will be wellorganized eager to learn and adapt and driven to tackle complex challenges. Most importantly youll thrive in a collaborative teamoriented environment!
Your responsibilities will include:
- Building and orchestrating data flows for fetching aggregation and data modeling using batch pipelines
- Integrating thirdparty systems and external data sources into data warehouse as well as reverseETL into thirdparty systems
- Modeling datasets and schemes for consistency and easy access
- Design and implement data transformations for machine learning models
- Integrating data with machine learning model training retraining and deployment.
Requirements
Whats important for us
- At least 5 years of professional experience as a data engineer
- Undergraduate or graduate degree in Computer Science Engineering Mathematics or similar
- Excellent command in spoken and written English at least C1
- Expertise on AWS stack
- Experience with infrastructureascode tools like Terraform
- Strong professional experience with Python and SQL
- Experience in building data pipelines with Airflow (MWAA would be a plus)
- Handson experience with using and managing a data warehouse like Snowflake or Redshift.
- DevOps skills to automate deployment and streamline development
- Creative problemsolving skills.
You will score extra points for:
- Hands on experience with DBT
- Experience with AWS DMS or other data migration or CDC services
- Strong understanding of various data modeling techniques like Kimball Star Schema
- Experience with productiongrade machine learning projects (data prep building training deployment retraining) especially using AWS Sagemaker
- Great analytical skills and attention to detail asking questions and proactively searching for answers
- Good understanding of Docker
- Great customer service and troubleshooting skills.
Benefits
What do we offer
- Working alongside a talented team thats changing the image of Poland abroad.
- Flexible working hours and remote work possibility.
- Comfortable office in a penthouse in central Warsaw equipped with all the necessary tools to conquer the universe (Macbook external screen ergonomic chairs).
- Fully equipped kitchen with fruit hot and cold drinks.
- Multisport card & Private medical care.
- Culture of good feedback: evaluation meetings mentoring.
- We value and appreciate our engineers eagerness to learn and improve so we strongly encourage and support their growth!
Required Experience:
Senior IC
Employment Type
Full Time
