Data Engineer (Data Competency Center)

Data Engineer (Data Competency Center) (Praca zdalna)

Sigma Software

Warszawa +7 więcej
B2B
💼 B2B
📊 Data Engineer
cloud computing
☁️ AWS
☁️ Azure
🐍 Python
PySpark
SQL
📊 Databricks
Kafka
CI/CD
🌐 Zdalna
full‑time

Podsumowanie

Data Engineer (Data Competency Center) – design, develop, and maintain cloud‑based data architectures and pipelines, collaborate with clients/internal teams, evaluate tools, mentor teammates. Requires 3+ years experience, AWS/Azure, Python/PySpark, SQL, Databricks, Kafka, CI/CD, Upper‑Intermediate English. Remote, full‑time, B2B contract.

Słowa kluczowe

Data Engineercloud computingAWSAzurePythonPySparkSQLDatabricksKafkaCI/CDremotefull‑timeB2B

Opis stanowiska

Are you a Data Engineer passionate about turning complex datasets into actionable insights? We at Sigma Software are looking for a skilled professional to join our Data Competency Center and work on diverse, challenging projects across industries.You will collaborate with talented engineers, contribute to cutting-edge data solutions, and help shape best practices in data engineering.Why join us? At Sigma Software, you’ll enjoy professional growth opportunities, access to the latest technologies, a supportive team culture, and benefits designed to help you thrive.PROJECTOur Data Competency Center focuses on delivering advanced data solutions for diverse industries, leveraging cloud technologies, big data platforms, and analytics tools. We work on projects involving large-scale data processing, data lakes, and real-time streaming, helping clients transform raw data into actionable insights.REQUIREMENTS 3+ years of experience in data engineering Hands-on experience with cloud computing services in data and analytics (AWS and/or Azure) Experience with data modeling, reporting tools, data governance, and data warehousing Proficiency in Python and PySpark for large-scale, distributed data processing Advanced SQL skills and knowledge of big data databases (Snowflake, Redshift, etc.) Strong knowledge of Databricks for big data analysis, transformations, and orchestration Understanding of streaming approaches (Kafka, Spark Structured Streaming) Familiarity with CI/CD and DevOps processes Upper-Intermediate+ English  RESPONSIBILITIES Collaborate with clients and internal teams to clarify technical requirements and expectations Implement architectures using Azure or AWS cloud platforms Design, develop, optimize, and maintain squad-specific data architectures and pipelines Discover, analyze, and organize disparate data sources into clean, understandable data models Evaluate new tools for analytical data engineering or data science Suggest and contribute to training and improvement plans for analytical data engineering skills, standards, and processes   PERSONAL PROFILE Passion for data processing and continuous learning Strong problem-solving skills and analytical thinking Ability to mentor and guide team members Effective communication and collaboration skills

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Wyświetlenia: 2
Opublikowana12 dni temu
Wygasaza 3 miesiące
Rodzaj umowyB2B
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