Data Engineer

🕒 June 16

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SOFTETA

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

☁️ SaaS

🤝 B2B

Consulting • SaaS • B2B

SOFTETA is a leading IT service provider specializing in custom software development, digital transformation, and IT consulting for businesses of all sizes. From early-stage discovery to full-scale implementation, SOFTETA offers a comprehensive range of services including front-end and back-end development, AI and data solutions, and quality assurance. They partner with industry leaders globally to deliver tailored technology solutions that enhance business growth and efficiency. With a team capable of rapid scaling and delivering end-to-end solutions, SOFTETA ensures seamless execution and successful project outcomes for enterprises and startups alike.

📋 Description

• Design, implement, and continuously improve systems for data ingestion, processing, storage, and sharing • Build and optimize data architectures for performance, scalability, and reliability • Develop and maintain ETL/ELT pipelines using modern tools and frameworks • Ensure seamless integration and synchronization across systems • Uphold high standards of data quality, security, availability, and performance • Collaborate with analysts, software engineers, and business stakeholders to understand data needs and deliver solutions • Perform code reviews, troubleshoot software, and fix defects • Implement monitoring and alerting for data workflows • Gain expertise in a variety of banking processes and products

🎯 Requirements

• 3-5+ experience in a Data engineer position or a similar position, experience in financial industry considered as a Pluss. • Proven experience with SQL and Python; Other ETL engines are a plus • Experience with both SQL and NoSQL databases • Hands-on experience with the cloud platforms (AWS or Azure or GCP) • Experience with container orchestration tools (Kubernetes, Docker) • Understanding of streaming data pipelines and platforms (Kafka, Spark, Flink) • Familiarity with data pipeline tools like Airflow or dbt • Experience with data warehousing solutions (Snowflake, BigQuery, Redshift) • Knowledge of solution integrations (real-time, message-based, event-driven) • Exposure to test automation and DevOps practices, including infrastructure as code and security best practices • Experience within the risk or finance business domain is a strong advantage • Ability to take ownership and drive initiatives independently • Fluent English

🏖️ Benefits

• Diverse and technically challenging projects. • Flexible working hours and a hybrid or remote workplace model. • Flexible schedule and an Agile/SCRUM environment. • Technical equipment that you can choose.