Senior Data Engineer (Snowflake)

Senior Data Engineer (Snowflake)

Godel Technologies Europe

Remote

B2B
Festanstellung

Hexjobs Insights

Senior Data Engineer role focused on designing and maintaining data pipelines using Snowflake. Requires 5 years experience, programming skills in Python and SQL. Remote work available.

Schlüsselwörter

Snowflake
Python
SQL
ETL
data pipelines
Data Warehousing
AWS
Apache Airflow
Git
Terraform

At Godel Technologies, we are passionate about building innovative software solutions that empower businesses around the world. We are growing and looking for a talented Data Engineer with strong Snowflake expertise to join our team. If you are interested in working with modern data technologies, solving complex problems, and making an impact — we want to hear from you! As a Data Engineer, you will be part of a collaborative and agile environment where your ideas matter. You will design, build, and maintain scalable and efficient data pipelines and solutions that support data-driven decision-making. You’ll work closely with cross-functional teams including Data Scientists, Architects, and Software Engineers to create reliable, secure, and high-performing systems. This position is available exclusively to candidates from Poland. Remote work is possible, but candidates are expected to be willing to make occasional office visits, such as for client visits, team-building events, company events, or other important in-person meetings.Tech StackProgramming Languages: Python, SQLData Warehousing: Snowflake, RedshiftETL/Orchestration Tools: Apache Airflow, dbtCloud Platforms: AWS (S3, Lambda, Kinesis, Batch, DynamoDB, Athena, Glue, etc.)Version Control: GitInfrastructure as Code: TerraformResponsibilitiesDesign, develop, and optimize scalable data pipelines and ETL/ELT processesWork with structured and unstructured data from various sourcesCollaborate with Data Scientists, Software Engineers, and Business Analysts to meet data requirementsImplement data quality, data validation, and monitoring practicesParticipate in architecture and design discussions to build cloud-native data platformsMaintain and optimize data storage solutions (data lakes, data warehouses)Ensure the security, integrity, and availability of dataSupport the deployment of machine learning models into productionContinuously improve performance, reliability, and scalability of our data systemsRequirementsMust have:At least 5 years of experience as a Data EngineerAt least one year of experience working with SnowflakeStrong understanding of data modeling, data warehousing, and ETL/ELT processesSolid programming skills in PythonStrong knowledge of SQL and database optimizationExperience in building and maintaining data pipelines using modern orchestration toolsAbility to work with large volumes of data efficientlyUnderstanding best practices for data security and governanceFamiliarity with Agile methodologies and working in cross-functional teamsStrong analytical thinking, problem-solving skills, and attention to detail are importantExcellent communication and teamwork skillsStrong verbal and written English communication skillsNice to have:Data Processing: Spark (Databricks), KafkaDatabases: MS SQL (SSIS, SSAS), PostgreSQL, MySQLBI tools: PowerBI, YellowfinBI, Tableau

Aufrufe: 5
Veröffentlichtvor etwa 1 Monat
Läuft abin etwa 1 Monat
Art des VertragsB2B, Festanstellung

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