Senior Data Architect

5 days ago

Zielona Góra Wrocław, Czech Republic beBeeData Full time

Key to our success is a strong Data Engineering background in data warehouse or lake architecture.

We are seeking an individual with experience working in AWS/GCP cloud infrastructure.

An ideal candidate will have developed and supported robust, automated, and reliable data pipelines in Python and SQL.

Proficiency in mastering Python and SQL skills is essential.

The ability to work with data processing frameworks like Spark, Athena, or Pandas is also required.

Knowledge of Data Orchestration solutions, preferably Airflow, is highly desirable.

A strong understanding of relational database design as well as Snowflake/Redshift or similar technologies is necessary.

We are looking for someone with production experience working with very large datasets.

An added bonus would be experience with AWS and big data cloud technologies like EMR, Athena, Glue, and EC2.

Direct experience with Infrastructure as Code tools (e.g., Terraform, CloudFormation) would be beneficial.

A willingness to constantly challenge the norm and promote high engineering standards is essential.

A fast learner with a keen interest in evaluating and adopting new technologies would be ideal.

This role involves contributing to the design, build, and operational management of our data pipelines and analytics solution on top of proven AWS data technologies like S3, Athena, Lambda, and Kinesis.

You will collaborate with the Product Owner and other stakeholders to implement the Data Products strategy.

This is a hands-on role for an experienced professional who can develop frameworks and solutions that enable us to acquire, process, monitor, and extract value from our massive dataset.

We are seeking a driven individual who can drive the design and architecture of Auctane's data product.

As part of this team, you will contribute directly to the implementation and operations of our systems.

Our team values data quality and observability principles, and we use state-of-the-art technologies like Airflow, dbt, and Spark to process data and get our datasets just right.

Foster engineering excellence by delivering highly reliable software and data pipelines using Software Engineering best practices like automation, version control, continuous integration/continuous delivery, testing, security, etc.

  • Data Engineering
  • AWS
  • Cloud
  • Data Pipelines
  • SQL
  • Athena
  • Pandas
  • Airflow
  • Relational Database
  • Snowflake
  • Redshift
  • Amazon EMR
  • Glue
  • AWS EC2
  • Infrastructure as Code
  • Terraform
  • CloudFormation
  • Tableau
  • Looker
  • Power BI
  • dbt

We offer a range of benefits, including:

Personal Development

We provide a personal training budget of up to 7.000 PLN/year to invest in your professional development.

Flexible Working Hours

We offer a flexible work schedule and will do our best to adapt to your personal situation.

Inclusive Work Environment

We strive to create an inclusive and upbeat work environment where everyone feels welcome and valued.

Cross-Cultural Atmosphere

We are a truly international team of 20 nationalities that speak 10 languages.

Company Events

We believe in celebrating milestones and achievements through company events and team-building activities.

Work-Life Balance

We prioritize work-life balance and encourage our employees to maintain a healthy balance between their personal and professional lives.

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