Data Engineer

As a Data Engineer at Atgeir Solutions, you will play a pivotal role in designing, developing, and optimizing data infrastructure and workflows. Your academic expertise will contribute to building robust systems that drive insightful analytics, enhance AI/ML models, and enable data-driven decision-making for clients. Key Responsibilities: - Design and implement scalable data architectures, ETL pipelines, and data workflows to process, store, and analyze large datasets effectively. - Integrate and consolidate data from various sources, including APIs, databases, and cloud platforms, ensuring data integrity and quality. - Implement data governance practices, including data cataloging, lineage tracking, and ensuring compliance with information security standards. - Collaborate with data scientists, software engineers, and business analysts to align data engineering solutions with business goals and requirements. - Optimize database performance, query execution, and storage solutions for efficiency and cost-effectiveness. - Contribute to innovative projects and mentor junior team members. Foster a culture of continuous learning and development. Qualifications Required: - Proficiency in programming languages such as Python, Java, or Scala. - Hands-on experience with big data technologies (e.g., Hadoop, Spark). - Strong knowledge of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra). - Familiarity with data warehousing tools like Snowflake, Redshift, or BigQuery. - Experience with cloud platforms like Google Cloud Platform (GCP), AWS, or Azure. - Expertise in ETL/ELT processes, data modeling, and data lake architectures. - Knowledge of data visualization tools like Tableau, Power BI, or Looker. - Experience teaching relevant technical subjects in engineering colleges. - Excellent analytical and problem-solving skills. - Strong interpersonal skills and the ability to collaborate effectively in cross-functional teams. - Demonstrated ability to balance technical depth with business understanding. Note: No additional details of the company are provided in the job description. As a Data Engineer at Atgeir Solutions, you will play a pivotal role in designing, developing, and optimizing data infrastructure and workflows. Your academic expertise will contribute to building robust systems that drive insightful analytics, enhance AI/ML models, and enable data-driven decision-making for clients. Key Responsibilities: - Design and implement scalable data architectures, ETL pipelines, and data workflows to process, store, and analyze large datasets effectively. - Integrate and consolidate data from various sources, including APIs, databases, and cloud platforms, ensuring data integrity and quality. - Implement data governance practices, including data cataloging, lineage tracking, and ensuring compliance with information security standards. - Collaborate with data scientists, software engineers, and business analysts to align data engineering solutions with business goals and requirements. - Optimize database performance, query execution, and storage solutions for efficiency and cost-effectiveness. - Contribute to innovative projects and mentor junior team members. Foster a culture of continuous learning and development. Qualifications Required: - Proficiency in programming languages such as Python, Java, or Scala. - Hands-on experience with big data technologies (e.g., Hadoop, Spark). - Strong knowledge of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra). - Familiarity with data warehousing tools like Snowflake, Redshift, or BigQuery. - Experience with cloud platforms like Google Cloud Platform (GCP), AWS, or Azure. - Expertise in ETL/ELT processes, data modeling, and data lake architectures. - Knowledge of data visualization tools like Tableau, Power BI, or Looker. - Experience teaching relevant technical subjects in engineering colleges. - Excellent analytical and problem-solving skills. - Strong interpersonal skills and the ability to collaborate effectively in cross-functional teams. - Demonstrated ability to balance technical depth with business understanding. Note: No additional details of the company are provided in the job description.