Snowflake Data Engineer (Energy sector project)

110 - 135 PLN/ godz./ godz.B2BB2B (netto)

MidZdalnie·WarszawaFull-time·B2B

#473559·Dodano wczoraj·0

Źródło: justjoin.it

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Tech Stack / Keywords

Snowflake PythonData modeling

Podsumowanie oferty

As a Snowflake Data Engineer, you will design, develop, and optimize data pipelines and warehouse solutions using Snowflake and cloud technologies. You will work across the data delivery lifecycle, from data integration and modelling through deployment and production support.

Wymagania

Strong hands-on experience in data engineering and data warehousing.
Proven experience developing solutions using Snowflake.
Practical knowledge of Snowflake data modelling, including databases and schemas, roles and permissions, and security policies.
Experience working with Snowflake Tasks, Streams, and Stages.
Strong SQL skills and experience working with large datasets.
Experience with ETL/ELT development and data integration processes.
Experience with cloud data platforms and distributed data processing concepts.
Knowledge of programming languages such as Python, Java, or Scala.
Understanding of data formats such as Parquet, ORC, and Avro.
Experience with Agile delivery methodologies.
Strong communication and problem-solving skills.
4–7 years of professional experience in data engineering, Big Data, or cloud data platform development.
Proven experience delivering enterprise-scale data solutions.
Experience working with Snowflake in production environments.
Experience participating in the full data solution delivery lifecycle, from design through deployment and support.

Nice to have:

Experience with Snowflake performance tuning and resource management.
Knowledge of data integration tools such as dbt, Matillion, Palantir, or Informatica.
Experience with streaming and messaging technologies such as Kafka or NiFi.
Experience with cloud services such as AWS S3, AWS Lambda, AWS Glue, and AWS EMR.
Knowledge of DevOps practices and containerization technologies.
Experience working directly with clients and business stakeholders.

Obowiązki

Design, develop, and deploy scalable Snowflake data pipelines in cloud environments.
Develop and optimize ETL/ELT processes, including migrating existing on-premise data workflows to cloud platforms.
Design and implement Snowflake data models, including schemas, databases, roles, and security policies.
Build and maintain Snowflake objects such as Tasks, Streams, and Stages.
Optimize SQL queries, data models, and processing workflows for performance and scalability.
Develop batch and real-time data processing solutions for structured and unstructured data.
Work with data integration tools and modern data engineering frameworks.
Collaborate with senior stakeholders to understand business requirements and translate them into technical solutions.
Participate in the complete data solution lifecycle: analysis, design, development, testing, deployment, and production support.
Contribute to DevOps practices, automation, and deployment processes.

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