Senior Data Engineer

We’re seeking a talented and dedicated Senior Data Engineer to join our team. The ideal сandidate will be instrumental in shaping our data architecture, integrating diverse data sources, and ensuring that our data pipelines are scalable, robust, and timely. With a keen understanding of modern data stack technologies, you’ll be at the forefront of our efforts to power our analytics, machine learning, and business intelligence initiatives.

• Design, construct, install, and maintain large-scale data processing pipelines and other infrastructure.
• Set the data strategy by selecting, architecting, and integrating cutting-edge database solutions.
• Build, optimize, and maintain ETL/ELT processes using modern tools and platforms.
• Ensure data integration from various sources, keeping in mind data accuracy, reliability, and timeliness.
• Optimize database operations for maximum performance, including monitoring, troubleshooting, and improving existing systems.
• Collaborate with data scientists, ML engineers, and other stakeholders to support their data infrastructure needs.
• Interface with other tech teams to extract, transform, and load data from a wide variety of data sources.
• Implement security measures to ensure data protection and compliance with relevant regulations and best practices.
• Stay updated with the latest technology trends, evaluating and implementing new systems and tools as required.

• Bachelor’s/Master’s degree in Computer Science, Engineering, or a related technical field.
• 7+ years of experience in a data engineering role.
• 7+ years of experience with cloud warehousing platforms such as Redshift or BigQuery.
• 4+ years experience with data orchestration platforms such as Airflow, Prefect, or Dagster.
• 3+ years experience architecting and building big data solutions in the cloud, specifically those that leverage data lakehouse technologies, with a focus on performance optimization and partitioning.
• 2+ years experience with a transformation workflow framework like dbt or SQLMesh.
• Strong knowledge and experience with data lakes, delta lakes, and data lake houses.
• Strong knowledge of SQL and scripting languages (Python, Scala, Java, etc.).
• Strong knowledge of data warehousing strategies to include Inmon, Kimball and Data Vault.
• Experience with data quality, ideally using a framework such as Great Expectations.
• Experience in healthcare or behavioral health sectors.
• Proven track record of architecting and deploying high-scale data infrastructure.

• Professional and career growth promotion;
• Competitive salary;
• Paid vacations and sick leaves;
• Internal Medical Program;
• Program for veterans (which includes mentorship, an accessible office for individuals with disabilities, legal support, and additional benefits);
• Flexible working hours;
• Regular corporate social activities;
• Regular technical training at our office;
• English courses;
• Gym, etc.