Lead Data Infrastructure Engineer

3 dni temu

Warszawa, Mazovia, Polska Square One Resources Sp. z o.o. Pełny etat

At Square One Resources Sp. z o.o., we are seeking a highly skilled Lead Data Infrastructure Engineer to join our team.

">Job Description:

We are looking for an experienced Senior Data Architecture Specialist to lead the design and implementation of our data architecture solutions.

About the Role:

The successful candidate will have 4+ years of experience working with programming languages focused on data pipelines, such as Python or R, and 2+ years of experience working with Snowflake.

Responsibilities:

  • Analyze and organize raw data to ensure it is accurate and complete.
  • Build data systems and pipelines using Snowflake and other technologies to support business decisions.
  • Evaluate business needs and objectives to identify areas for improvement.
  • Interpret trends and patterns in data to inform business strategies.
  • Conduct complex data analysis and report on results to stakeholders.
  • Prepare data for prescriptive and predictive modeling to drive business growth.
  • Build algorithms and prototypes to test new ideas and approaches.

Requirements:

  • 4+ years of experience working with programming languages focused on data pipelines, such as Python or R.
  • 2+ years of experience working with Snowflake.
  • 4+ years of experience working with SQL.
  • 3+ years of experience in data pipelines maintenance.
  • 3+ years of experience with different types of storage, such as filesystems, relational databases, MPP, NoSQL, and working with various kinds of data, including structured, unstructured, metrics, logs, etc.
  • 3+ years of experience in working in data architecture concepts, such as data modeling, metadata management, workflow management, ETL/ELT, real-time streaming, data quality, distributed systems.
  • 3+ years of cloud technologies with emphasis on data pipelines, including Airflow, Glue, Dataflow, and other smart solutions for handling data in the cloud, such as elastic, redshift, bigquery, lambda, s3, EBS, etc.
  • Very good knowledge of data serialization languages, such as JSON, XML, YAML.
  • Excellent knowledge of Git, Gitflow, and DevOps tools, such as Docker, Bamboo, Jenkins, Terraform.
  • Capability to conduct performance analysis, troubleshooting, and remediation (optional).
  • Excellent knowledge of Unix.
  • Very good knowledge of relational databases.
  • DBT experience.

What We Offer:

  • A competitive salary range of $120,000 - $180,000 per year, depending on experience.
  • A comprehensive benefits package, including health insurance, retirement plan, and paid time off.
  • The opportunity to work with a talented team of professionals in the field of data engineering.
  • A dynamic and supportive work environment that encourages growth and development.

How to Apply:

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