AWS Engineer

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Job Description Role Summary We are looking for a highly motivated Data Engineer with 3–4 years of hands-on experience in AWS Databricks to join our data platform team. The role involves working closely with data scientists, analysts, architects, and business stakeholders to design, build, and maintain scalable, high-performance data pipelines and data solutions within the AWS cloud environment. The ideal candidate should have strong expertise in Databricks, PySpark, SQL, Delta Lake, and AWS data services, along with a good understanding of modern data engineering practices, orchestration, and data governance. Key Responsibilities - Design, develop, test, and deploy scalable ETL/ELT pipelines using AWS Databricks, PySpark, and SQL. - Build and maintain robust data pipelines for ingesting and processing structured and unstructured data from multiple sources such as Amazon S3, Amazon RDS, APIs, and external platforms. - Implement and manage Delta Lake solutions to support both batch and streaming data processing. - Optimize Spark workloads for performance, scalability, and cost efficiency. - Ensure data quality, consistency, reliability, and integrity through validations, monitoring, exception handling, and reconciliation checks. - Collaborate with cross-functional teams including data analysts, data modelers, architects, and business stakeholders to support reporting, analytics, and downstream consumption. - Support orchestration and scheduling of pipelines using tools such as AWS Glue Workflows, Apache Airflow, or AWS Step Functions. - Participate in CI/CD implementation and code deployment processes using Git, AWS CodePipeline, and CodeBuild. - Apply best practices related to data governance, metadata management, security, and access control. - Support production issue resolution, ad hoc data requests, and continuous improvement of the data platform. Required Skills and Qualifications - Bachelor's degree in Computer Science, Information Systems, Engineering, or a related discipline. - 3–4 years of experience in Data Engineering or a similar role. - Strong hands-on experience with AWS Databricks. - Good proficiency in PySpark and SQL for large-scale data processing. - Experience working with Delta Lake and modern lakehouse concepts. - Familiarity with AWS services such as Amazon S3, Amazon RDS, AWS Glue, AWS Lambda, and Amazon Redshift. - Knowledge of batch and streaming data architectures. - Experience with workflow orchestration, monitoring, and debugging of pipelines. - Understanding of version control and CI/CD practices. - Awareness of data security, governance, and metadata management principles. - Strong analytical, problem-solving, and communication skills. Preferred Qualifications - Experience in building data pipelines in enterprise-scale cloud data platforms. - Familiarity with real-time / streaming frameworks and event-driven architectures. - Exposure to data quality frameworks, reconciliation processes, and operational monitoring. - Working knowledge of infrastructure automation and cloud deployment best practices. - Experience collaborating in agile delivery environments. Key Competencies - Strong problem-solving orientation - Attention to detail and focus on data quality - Ability to work in a fast-paced, collaborative environment - Good stakeholder communication and coordination skills - Ownership mindset with a focus on delivery excellence Nice to Have - Experience with data modeling and analytics enablement - Exposure to DevOps and platform engineering practices - Certification in AWS or Databricks technologies Why Join Us This role offers the opportunity to work at the forefront of cloud-based data engineering, partnering with talented data scientists, analysts, and architects to build scalable, high-impact data solutions on AWS Databricks. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Not the right fit?  Let us know you're interested in a future opportunity by clicking  Introduce Yourself  in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!