Senior Data Engineer ID65436

Description

**About the role** We are looking for a **Senior Data Engineer** to design and maintain scalable data pipelines and platforms supporting Accounting, Finance, Payments, and Tax functions within a large\-scale financial systems platform. You will build ETL/ELT workflows using Python, dbt, and Airflow, working across Snowflake, Redshift, Kafka, and Spark to ensure data availability and reliability for critical business operations. The role operates in a cross\-functional Agile environment with direct stakeholder engagement across Engineering, Product, and Analytics teams. **What you will do** * Design, develop, and maintain scalable and reliable **ETL/ELT** pipelines; * Build and optimize data workflows using tools such as **dbt** and **Airflow**; * Develop and maintain data solutions leveraging technologies such as **Snowflake**, **Redshift**, **Kafka**, **Spark**, and **Hive**; * Work with both **SQL** and **NoSQL** databases to support data ingestion, transformation, and analytics needs; * Monitor, troubleshoot, and improve data pipeline performance, scalability, and reliability; * Collaborate closely with cross\-functional teams including Engineering, Product, Analytics, and Business stakeholders; * Participate in Agile ceremonies and contribute to sprint planning and delivery commitments; * Manage multiple priorities effectively while ensuring timely and high\-quality deliverables; * Contribute to data architecture discussions and help drive engineering best practices. **Must haves** * **5\+ years of professional experience** in Data Engineering or Data Warehousing roles; * Strong programming skills in **Python**; * **5\+ years of experience** building data pipelines using **ETL/ELT** tools, with **dbt** preferred; * **3\+ years of hands\-on experience** with big data technologies such as **Snowflake**, **Redshift**, **Kafka**, **Spark**, or **Hive**; * Extensive experience working with both **SQL** and **NoSQL** databases; * Strong expertise with workflow orchestration and pipeline management tools such as **Airflow**; * Strong understanding of scalable data architecture and engineering best practices; * Excellent communication and stakeholder management skills; * Proven ability to manage competing priorities and deliver within agreed sprint commitments; * Comfortable working in highly collaborative, cross\-functional Agile teams; * Self\-starter mindset with strong analytical, problem\-solving, and critical\-thinking abilities; * **Master’s degree** in Computer Science, Mathematics, Statistics, or a related technical field preferred, or **Bachelor’s degree** with relevant experience; * Upper\-intermediate English level. **Nice to haves** * Experience working in cloud\-based data environments; * Familiarity with modern data warehousing and distributed systems concepts; * Exposure to data governance, observability, or data quality frameworks. **Perks and benefits** * **Professional growth:** Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps. * **Competitive compensation:** We match your ever\-growing skills, talent, and contributions with competitive USD\-based compensation and budgets for education, fitness, and team activities. * **A selection of exciting projects:** Join projects with modern solutions development and top\-tier clients that include Fortune 500 enterprises and leading product brands. * **Flextime:** Tailor your schedule for an optimal work\-life balance, by having the options of working from home and going to the office, whatever makes you the happiest and most productive. Job Type: Full\-time Work Location: Remote