Senior Data Engineer

We are looking for an experienced and passionate Senior Data Engineer to architect, build, and evolve our data engineering platform.
You will work across data ingestion, processing, storage, analytics, data quality, and data governance, while collaborating closely with data team members, software engineers, and other cross-functional teams.
The ideal candidate combines strong hands-on engineering skills with architectural thinking and is comfortable taking ownership of projects from design and implementation through deployment, monitoring, optimization, and continuous improvement.
Responsibilities:

• Architect, design, and implement scalable data engineering platforms and pipelines.
• Design and implement robust batch and streaming data pipelines for high-volume and near-real-time data processing.
• Design and develop ETL/ELT pipelines to ingest data from databases, APIs, analytics platforms, event streams, and other data sources.
• Build and maintain analytical data platforms and data lakehouse solutions.
• Design efficient data models, schemas, transformations, and storage strategies for analytical workloads.
• Develop, test, document, and maintain scalable data transformation and modeling workflows.
• Work closely with data team members and cross-functional teams to design and implement scalable, reliable, and maintainable data pipelines.
• Build and maintain analytical dashboards and data visualizations to support business and operational decision-making.
• Establish practices for data quality, validation, observability, monitoring, lineage, and alerting.
• Deploy, monitor, maintain, and troubleshoot data services and pipelines in production environments.
• Troubleshoot and optimize production data pipelines, improving performance, reliability, and scalability.
• Collaborate with software engineers and business stakeholders to translate requirements into production-ready data solutions.
• Establish best practices for data engineering, security, testing, documentation, and version control.
• Research and evaluate new technologies and approaches to continuously improve the data platform.
• Provide technical guidance and mentorship to other engineers.

Requirements:

• 3+ years of professional experience in data engineering or a related engineering role.
• Strong programming skills in Python.
• Good knowledge of SQL, ETL/ELT, data modeling, and data warehousing.
• Expertise in Apache Airflow, Apache Spark or dbt, and Apache Kafka.
• Hands-on experience building and maintaining data pipelines and data processing systems.
• Experience working with relational and NoSQL databases, such as PostgreSQL and MongoDB.
• Experience with containerization, Linux, and CI/CD.
• Understanding of batch and streaming data processing and distributed systems.
• Familiarity with data quality, observability, monitoring, and data governance.
• Experience with data lake or data lakehouse architectures is a plus.
• Strong problem-solving skills and ability to take end-to-end ownership of data engineering projects.
• Strong communication and collaboration skills.