Job Title: Senior Data EngineerLocation: Remote Job Type: Full-timeAbout the Company:Join a rapidly growing technology-driven organization that is dedicated to leveraging data for business decision-making. Our collaborative environment fosters innovation and continuous learning. We are seeking a Senior Data Engineer to design and develop scalable data solutions, enabling actionable insights across the organization.Key Responsibilities:Design, build, and maintain robust data pipelines using ETL tools and frameworks.Collaborate with data scientists, analysts, and business stakeholders to understand data needs.Develop and optimize data storage solutions using cloud-based technologies (AWS, Azure, or GCP).Implement and enforce data governance standards to ensure data quality and integrity.Create and maintain scalable data models and warehouses using platforms like Snowflake, Redshift, or BigQuery.Perform data profiling, cleaning, and transformation using SQL, Python, or Spark.Automate data workflows and monitor data pipeline performance using orchestration tools like Apache Airflow.Lead and mentor junior engineers, providing guidance and support.Required Qualifications:Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.7+ years of experience in data engineering or software development.Strong proficiency in SQL and Python.Hands-on experience with ETL frameworks, data modeling, and data warehouse solutions.Experience with cloud platforms like AWS (S3, Glue, Lambda), Azure (Data Factory, Synapse), or GCP (BigQuery, Dataflow).Expertise in data orchestration tools such as Apache Airflow or AWS Step Functions.Strong problem-solving skills and ability to work in an agile environment.Preferred Qualifications:Experience with big data technologies like Spark, Hadoop, or Kafka.Familiarity with CI/CD pipelines and DevOps practices.Knowledge of data security, compliance, and privacy best practices.Experience with machine learning model deployment is a plus.
Job Title
Senior Data Engineer