Data Engineer

Job Title: Data Engineer Location: Remote Experience: 5+ Years Employment Type: Full-Time Job Description: We are seeking a skilled and motivated Data Engineer with at least 5 years of hands-on experience to join our data team. The ideal candidate will have a strong background in designing and building data pipelines, working with large-scale datasets, and optimizing data workflows in cloud environments. You will play a critical role in ensuring our data infrastructure is robust, scalable, and efficient to support analytics, business intelligence, and machine learning use cases. Key Responsibilities: Design, develop, and maintain reliable data pipelines and ETL processes using modern tools and frameworks Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver high-quality datasets Work with both structured and unstructured data from diverse sources (APIs, logs, databases, etc.) Ensure data quality, integrity, and compliance across data assets Optimize data processing workflows for performance, scalability, and cost-efficiency Build and maintain data models, data lakes, and data warehouses on cloud platforms Monitor and troubleshoot pipeline failures, ensuring timely resolution of data issues Automate data operations and implement best practices in DevOps for data engineering Required Skills: 5+ years of experience in data engineering or similar roles Proficiency in SQL and at least one programming language (preferably Python or Scala ) Experience with data pipeline tools such as Apache Airflow , DBT , or Luigi Strong knowledge of ETL/ELT processes and data modeling techniques Hands-on experience with cloud data platforms like AWS (S3, Redshift, Glue) , Azure (Data Factory, Synapse) , or GCP (BigQuery, Dataflow) Familiarity with distributed data processing using Spark , Hadoop , or Kafka Experience with data warehouse/lakehouse architecture Version control using Git and CI/CD best practices for data workflows Strong problem-solving, communication, and collaboration skills Ability to work independently in a remote, fast-paced environment Preferred Qualifications: Experience with containerization (Docker, Kubernetes) for data applications Familiarity with data governance , data security , and compliance standards Knowledge of real-time data processing and streaming architectures Exposure to BI tools like Power BI, Tableau, or Looker Show more Show less