Data Engineer - ETL

You are looking for a Data Engineer who enjoys solving complex data problems and building systems that scale. In this role, you will work on designing, developing, and maintaining data pipelines that help your teams make better, faster decisions. If you love working with large datasets, automating workflows, and optimizing data processes, you will fit right in. **Key Responsibilities:** - Build and maintain reliable, high-performing data pipelines for ETL/ELT processes. - Write clean and efficient code using Python or Scala to handle data processing tasks. - Use SQL extensively to query, clean, and transform large datasets. - Work with big data tools such as Apache Spark, Airflow, and Kafka to manage and orchestrate workflows. - Collaborate with cloud platforms (AWS, Azure, or GCP) to design and manage data infrastructure. - Partner with data analysts, scientists, and product teams to ensure data accuracy and availability. **Qualifications Required:** - Strong experience in building and maintaining data pipelines. - Hands-on coding skills in Python or Scala. - Solid understanding of SQL and database concepts. - Familiarity with distributed data systems and streaming technologies (Spark, Kafka, Airflow, etc.). - Experience working on cloud-based data platforms (AWS, Azure, or GCP). - A problem-solver mindset with attention to detail and a passion for clean, efficient data systems. No additional details of the company are present in the job description. You are looking for a Data Engineer who enjoys solving complex data problems and building systems that scale. In this role, you will work on designing, developing, and maintaining data pipelines that help your teams make better, faster decisions. If you love working with large datasets, automating workflows, and optimizing data processes, you will fit right in. **Key Responsibilities:** - Build and maintain reliable, high-performing data pipelines for ETL/ELT processes. - Write clean and efficient code using Python or Scala to handle data processing tasks. - Use SQL extensively to query, clean, and transform large datasets. - Work with big data tools such as Apache Spark, Airflow, and Kafka to manage and orchestrate workflows. - Collaborate with cloud platforms (AWS, Azure, or GCP) to design and manage data infrastructure. - Partner with data analysts, scientists, and product teams to ensure data accuracy and availability. **Qualifications Required:** - Strong experience in building and maintaining data pipelines. - Hands-on coding skills in Python or Scala. - Solid understanding of SQL and database concepts. - Familiarity with distributed data systems and streaming technologies (Spark, Kafka, Airflow, etc.). - Experience working on cloud-based data platforms (AWS, Azure, or GCP). - A problem-solver mindset with attention to detail and a passion for clean, efficient data systems. No additional details of the company are present in the job description.