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Senior Databricks Engineer @ ENTRADA AI

ENTRADA AI

Polska

On-site

PLN 120,000 - 160,000

Full time

Today
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Job summary

A leading data consultancy in Poland seeks a Senior Databricks Engineer to design, construct, and optimize large-scale data processing systems. Candidates should have over 5 years of experience in data engineering, extensive knowledge of Databricks, and proficiency in SQL and programming languages such as Python or Java. This role offers the opportunity to collaborate with data scientists and analysts, ensuring high-quality data solutions in a team-oriented environment.

Qualifications

  • 5+ years of experience in data engineering or related fields.
  • 3+ years of experience with Databricks.
  • Proficiency in SQL and experience with databases like MySQL, PostgreSQL, or NoSQL.

Responsibilities

  • Design, develop, and maintain scalable and robust data pipelines.
  • Architect and implement data warehouses and data lakes.
  • Collaborate with data scientists and analysts to understand data requirements.

Skills

Data engineering
Databricks
SQL
Python
Java
Scala
ETL tools
Hadoop
Spark
Kafka
AWS
GCP
Azure
Data warehousing
Problem-solving
Communication skills

Education

Bachelor’s or Master’s degree in Computer Science or related field
Job description

Entrada AI, Inc. is looking for a highly skilled Senior Databricks Engineer to join our growing team of consultants. In this role, you will be responsible for designing, constructing, and optimizing large-scale data processing systems that enable advanced analytics and business intelligence. You will collaborate closely with data scientists, analysts, and other engineers to ensure the availability, reliability, and efficiency of our clients’ Databricks solution.

Senior Databricks Engineer @ ENTRADA AI
Polska
Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field.
  • 5+ years of experience in data engineering or related fields, with a focus on large-scale data systems
  • 3+ years of experience with Databricks
  • Proficiency in SQL and experience with databases such as MySQL, PostgreSQL, or NoSQL databases
  • Strong programming skills in languages such as Python, Java, or Scala.
  • Experience with ETL tools and frameworks and data pipeline orchestration.
  • Familiarity with big data technologies (e.g. Hadoop, Spark, Kafka) and cloud platforms (AWS, GCP, Azure).
  • Strong understanding of data warehousing concepts, data modeling, and schema design.
  • Excellent problem‑solving skills and attention to detail.
  • Strong communication skills and ability to work effectively in a team‑oriented environment
Description

Entrada AI, Inc. is looking for a highly skilled Senior Databricks Engineer to join our growing team of consultants. In this role, you will be responsible for designing, constructing, and optimizing large-scale data processing systems that enable advanced analytics and business intelligence. You will collaborate closely with data scientists, analysts, and other engineers to ensure the availability, reliability, and efficiency of our client’s Databricks solution.

Responsibilities
  • Design, develop, and maintain scalable and robust data pipelines that collect, process, and store large volumes of structured and unstructured data.
  • Architect and implement data warehouses, data lakes, and other storage solutions that support analytics and reporting needs.
  • Optimize data architectures and workflows for performance, scalability, and cost‑efficiency.
  • Collaborate with data scientists and analysts to understand data requirements and ensure that data systems meet their needs.
  • Ensure data quality, integrity, and security by implementing best practices in data governance and management.
  • Develop and maintain documentation for data systems, including data models, flow diagrams, and operational procedures.
  • Mentor and guide junior data engineers, providing technical leadership and support.
  • Stay current with emerging technologies and trends in data engineering, and apply them to improve existing systems.
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