About the RoleWe are seeking a highly experienced Data Engineer for the development and optimization of our modern cloud data platform infrastructure. This role is ideal for someone who thrives in a fast-paced environment, is passionate about data architecture, and has a deep understanding of data transformation, modeling, and orchestration using modern tools like dbt-core, Snowflake, and Python.Key Responsibilities- Develop and implement scalable data pipelines using dbt-core, Python, and SQL to support analytics, reporting, and data science initiatives. - Optimize data models in Snowflake to support efficient querying and storage. - Development and maintenance of our data warehouse, ensuring data quality, governance, and performance. - Collaborate with cross-functional teams including data analysts, data architects, data scientists, and business stakeholders to understand data needs and deliver robust solutions. - Develop and support the best practices SOP for version control (Git), CI/CD pipelines, and data pipeline monitoring. - Task Ownership and Self driven, work in a culture of technical excellence and continuous improvement. - Independently execute POC to recommend new tools and technologies to enhance the data platform. - Provide on-going support for the existing ELT/ETL processes and procedures. - Other duties as assigned including but not limited to possible reallocation of efforts to other organizations per business need and management request.Required Qualifications- Bachelor's degree in computer science or related field (16 years of formal education related to engineering) - Around 5 years of experience in data engineering with minimum of 1+ years of experience in Snowflake and Python. - Expert-level proficiency in SQL for data transformation and automation. - Experience with dbt-core for data modeling and transformation. - Strong hands-on experience in cloud platforms (Microsoft Azure) and cloud data platforms (Snowflake). - Proficiency with Git and collaborative development workflows. Familiarity with Microsoft VSCode or similar IDEs. Knowledge of Azure DevOps or Gitlab development operations and job scheduling tools. - Solid understanding of modern data warehousing architecture, dimensional modeling, ELT/ETL frameworks. - Excellent communication skills and the ability to translate complex technical concepts to non-technical stakeholders. - Proven expertise in designing and implementing batch and streaming data pipelines to support near real-time and large-scale data processing needs.Preferred Qualifications- Experience working in a cloud-native environment (AWS, Azure, or GCP). - Familiarity with data governance, security, and compliance standards. - Prior experience with Apache Kafka (Confluent), DataOps.Live, Atlan. - Hands-on experience with orchestration tools (e.g., Active Batch, Airflow, Prefect) is a plus.
Job Title
Data Engineer