Sr Data Engineer

Experteer Overview As Sr. Data Engineer, you will design and scale data systems that enable fast, reliable decision-making across engineering, test labs, and product development. You will partner with cross-functional teams to transform raw data into governance-ready analytics products through modern pipelines, cloud platforms, and data modeling. You’ll build robust ETL/ELT processes, ensure data quality, and optimize data warehouses and lakes for performance and scalability. This role offers hands-on impact shaping data architecture and governance in a fast-paced, transformation-driven environment. Compensation / Benefits * Design, develop, and maintain scalable data pipelines, models, and integration solutions for engineering and test operations * Build reliable ETL/ELT processes to ingest, transform, validate, and deliver data to analytics environments * Partner with engineering, lab operations, IT, analytics, and business stakeholders to translate data needs into technical solutions * Establish data quality checks, validation rules, and monitoring to ensure trusted data * Develop and optimize data warehouses, data lakes, and cloud-based platforms for performance and scalability * Create reusable data assets, curated datasets, and documentation to enable self-service analytics * Collaborate on secure data architecture, system integrations, and deployment best practices * Translate business strategy into data solutions to improve efficiency and decision speed * Monitor pipelines, troubleshoot issues, and improve reliability and observability * Mentor team members on standards, governance, and documentation * Balance speed and technical excellence in a fast-paced environment Tasks * Bachelor’s degree in a related technical field * 5+ years of experience in data engineering or related roles * Strong proficiency in SQL and at least one language (Python, C#, Java, or Scala) * Experience designing and supporting ETL/ELT pipelines, data warehouses, data lakes, relational databases, and cloud platforms * Experience with Azure or AWS cloud environments * Knowledge of data modeling, database design, data integration, APIs, and scalable architecture * Familiarity with Spark, Databricks, Airflow, dbt, Fabric, or similar tools * Understanding of data quality, governance, security, documentation, and monitoring * Ability to map complex business processes to data solutions * Strong analytical, problem-solving, and cross-functional communication skills Key requirements *

• Establish data quality checks, validation rules, and monitoring to ensure trusted data * Develop and optimize data warehouses, data lakes, and cloud-based platforms for performance and scalability * Create reusable data assets, curated datasets, and documentation to enable self-service analytics * Collaborate on secure data architecture, system integrations, and deployment best practices * Translate business strategy into data solutions to improve efficiency and decision speed * Monitor pipelines, troubleshoot issues, and improve reliability and observability * Mentor team members on standards, governance, and documentation * Balance speed and technical excellence in a fast-paced environment Tasks * Bachelor’s degree in a related technical field * 5+ years of experience in data engineering or related roles * Strong proficiency in SQL and at least one language (Python, C#, Java, or Scala) * Experience designing and supporting ETL/ELT pipelines, data warehouses, data lakes, relational databases, and cloud platforms * Experience with Azure or AWS cloud environments * Knowledge of data modeling, database design, data integration, APIs, and scalable architecture * Familiarity with Spark, Databricks, Airflow, dbt, Fabric, or similar tools * Understanding of data quality, governance, security, documentation, and monitoring * Ability to map complex business processes to data solutions * Strong analytical, problem-solving, and cross-functional communication skills Key requirements *