Remote Data Engineer | Turning Raw Data into Gold (B2B or CIM)

Description:

• Tecknoworks is a global technology consulting company that values curiosity, fearlessness, aspiration, and collaboration.
• The company is seeking highly skilled and motivated Data Engineers to join their growing data team.
• The Data Engineers will be responsible for building and maintaining scalable data pipelines, managing data architecture, and enabling data-driven decision-making across the organization.
• Candidates should have hands-on experience with cloud platforms, specifically AWS and/or Azure, and proficiency in their respective data and analytics services.
• For AWS, experience with AWS Glue for ETL/ELT processes, familiarity with Amazon Redshift, Athena, S3, and Lake Formation, and use of AWS Lambda, Step Functions, and CloudWatch for data pipeline orchestration and monitoring is required.
• For Azure, experience with Azure Data Factory (ADF)/Synapse for data integration and orchestration, familiarity with Azure Synapse Analytics, Azure Data Lake Storage (ADLS), and Azure SQL Database is necessary.
• The position is remote and based in Romania, with options for employment or collaboration contracts.

Requirements:

• Candidates must design, develop, and maintain robust and scalable data pipelines to ingest, transform, and store data from diverse sources.
• They should optimize data systems for performance, scalability, and reliability in a cloud-native environment.
• Collaboration with data analysts, data scientists, and other stakeholders to ensure high data quality and availability is essential.
• Development and management of data models using DBT, ensuring modular, testable, and well-documented transformation layers is required.
• Implementation and enforcement of data governance, security, and privacy standards are necessary.
• Candidates must manage and optimize cloud data warehouses, especially Snowflake, for performance, cost-efficiency, and scalability.
• Monitoring, troubleshooting, and improving data workflows and ETL/ELT processes is expected.
• Collaboration in the design and deployment of data lakes, warehouses, and lakehouse architectures is required.
• A minimum of 3 years of experience as a Data Engineer or in a similar role is necessary.
• Strong proficiency in SQL and Python is required.
• Candidates should have a solid understanding of data modeling, ETL/ELT processes, and pipeline orchestration.
• Experience working in DevOps environments using CI/CD tools (e.g., GitHub Actions, Azure DevOps) is necessary.
• Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes, Airflow) is required.
• Familiarity with data cataloging tools like AWS Glue Data Catalog or Azure Purview is necessary.
• Strong interpersonal and communication skills are essential for collaboration with cross-functional teams and external clients.
• Candidates should demonstrate adaptability in fast-paced environments with shifting client needs and priorities.
• An analytical mindset with attention to detail and a commitment to delivering quality results is required.

Benefits:

• The position offers the opportunity to work in a dynamic and innovative environment at a global technology consulting company.
• Employees will have the chance to collaborate with a diverse team and contribute to significant outcomes for clients.
• The role provides flexibility with remote work options.
• Candidates will gain hands-on experience with leading cloud platforms and cutting-edge data technologies.
• The company encourages continuous learning and professional development within the data engineering field.