Senior Data Engineer

Job Description We are seeking a highly skilled Data Engineer with strong expertise in Google Cloud Platform (GCP), BigQuery, and Big Data technologies to build and maintain scalable, high-performance data systems. This role involves designing robust data pipelines, enabling analytics, and supporting real-time and batch data processing use cases. As a Data Engineer, you will be responsible for developing reliable data infrastructure that powers reporting, analytics, and advanced data applications. You will collaborate with cross-functional teams to ensure data quality, scalability, and performance while adhering to best practices in data engineering and governance. KEY RESPONSIBILITIES - Design, build, and maintain scalable data pipelines on GCP. - Develop and optimize data models using dbt. - Build, manage, and optimize data warehouses in BigQuery. - Implement ELT/ETL processes for structured and semi-structured data. - Ensure data quality, reliability, and performance optimization across pipelines. - Collaborate with Data Analysts, Data Scientists, and Engineering teams. - Optimize query performance and ensure cost efficiency in BigQuery. - Implement monitoring, alerting, and validation frameworks for data pipelines. - Support real-time analytics use cases (experience with Apache Pinot is a plus). - Maintain documentation and follow data governance best practices WHO YOU’LL WORK WITH You will work closely with Data Analysts, Data Scientists, and Engineering teams to build scalable and reliable data solutions that enable business insights and decision-making. This role involves cross-functional collaboration to understand data requirements and deliver high-quality data products. WHO YOU ARE We are looking for people with: - 6+ years of experience in Data Engineering. - Strong hands-on experience with Google Cloud Platform (GCP). - Expertise in BigQuery and Big Data concepts. - Good understanding and working experience with dbt. - Strong SQL skills, including complex transformations and query optimization. - Experience designing scalable data models and data architecture. - Proven experience building and maintaining ETL/ELT pipelines. - Strong understanding of data warehousing concepts. - Experience with version control tools such as Git. - Strong knowledge of data performance tuning and cost optimization. NICE TO HAVE - Experience with Apache Pinot (real-time OLAP systems). - Experience with streaming pipelines (Pub/Sub, Kafka, etc.). - Knowledge of data governance and security best practices. - Experience working in high-volume production environments. SOFT SKILLS - Strong analytical thinking and problem-solving skills - Excellent attention to detail - Ownership mindset with high accountability - Ability to work effectively in cross-functional teams - Strong communication and collaboration skills WHO WE ARE We are a data-driven organization focused on building scalable and reliable data platforms that enable smarter decision-making. Our teams are dedicated to delivering high-quality data solutions and continuously improving our technology landscape. WHY YOU’LL LOVE WORKING HERE - Opportunity to work with modern data technologies and cloud platforms - Collaborative and innovation-driven work environment - Exposure to large-scale data systems and real-time analytics use cases - Continuous learning and career development opportunities *We are committed to a recruitment process that is fair, equitable, and based on competency. We therefore kindly ask you to not attach a cover letter in your application