Senior Data Engineer (ML/AI) - Remote

Job Title: Senior Data Engineer Location: Remote Experience: 8+ Years We are looking for a Senior Data Engineer to build a modern, cloud-native data platform on AWS while transitioning critical workloads from legacy systems to scalable, high-performing architectures. This role requires strong hands-on expertise across AWS, Databricks, Spark, and SQL, along with experience in both legacy ETL tools and modern data lakehouse technologies. Design, build, and optimize data pipelines and ETL/ELT workflows using AWS services such as Glue, Redshift, S3, and Athena. Migrate legacy data solutions (Siebel, Talend, Informatica) to modern AWS-native and lakehouse architectures. Implement and manage data lake/lakehouse solutions using Apache Iceberg, Delta Lake, or Hudi. Develop and optimize data warehousing solutions in Redshift, including data modeling and performance tuning. Implement data quality and observability frameworks using Soda or similar tools. Enable data governance and metadata management using platforms like Atlan, Collibra, or Alation. Collaborate with cross-functional teams to deliver reliable and scalable data solutions. Define and promote data engineering best practices and coding standards. Explore and integrate AI/ML data engineering patterns where applicable. Required Skills & Experience: 8+ years of experience in data engineering and large-scale data platforms.Strong expertise in AWS services: Experience with open table formats such as Apache Iceberg, Delta Lake, or Hudi.Hands-on experience migrating from legacy ETL tools (Siebel, Talend, Informatica).Experience with data governance tools like Atlan, Collibra, or Alation.Strong experience in data quality/observability tools like Soda.Advanced SQL skills for complex queries and optimization.Proficiency in Python for data engineering and Spark-based processing.Experience with Apache Spark (EMR or Databricks).Strong understanding of data modeling and data warehousing concepts.Experience with Agile, DevOps, and CI/CD practices.Exposure to AI/ML workloads is a plus. At Donyati, we go beyond delivering SAP solutionswe build the future of intelligent business transformation. You will work in a culture that values curiosity, innovation, and impact while contributing to large-scale transformation programs. Job Title: Senior Data Engineer Location: Remote Experience: 8+ Years We are looking for a Senior Data Engineer to build a modern, cloud-native data platform on AWS while transitioning critical workloads from legacy systems to scalable, high-performing architectures. This role requires strong hands-on expertise across AWS, Databricks, Spark, and SQL, along with experience in both legacy ETL tools and modern data lakehouse technologies. Design, build, and optimize data pipelines and ETL/ELT workflows using AWS services such as Glue, Redshift, S3, and Athena. Migrate legacy data solutions (Siebel, Talend, Informatica) to modern AWS-native and lakehouse architectures. Implement and manage data lake/lakehouse solutions using Apache Iceberg, Delta Lake, or Hudi. Develop and optimize data warehousing solutions in Redshift, including data modeling and performance tuning. Implement data quality and observability frameworks using Soda or similar tools. Enable data governance and metadata management using platforms like Atlan, Collibra, or Alation. Collaborate with cross-functional teams to deliver reliable and scalable data solutions. Define and promote data engineering best practices and coding standards. Explore and integrate AI/ML data engineering patterns where applicable. Required Skills & Experience: 8+ years of experience in data engineering and large-scale data platforms.Strong expertise in AWS services: Experience with open table formats such as Apache Iceberg, Delta Lake, or Hudi.Hands-on experience migrating from legacy ETL tools (Siebel, Talend, Informatica).Experience with data governance tools like Atlan, Collibra, or Alation.Strong experience in data quality/observability tools like Soda.Advanced SQL skills for complex queries and optimization.Proficiency in Python for data engineering and Spark-based processing.Experience with Apache Spark (EMR or Databricks).Strong understanding of data modeling and data warehousing concepts.Experience with Agile, DevOps, and CI/CD practices.Exposure to AI/ML workloads is a plus. At Donyati, we go beyond delivering SAP solutionswe build the future of intelligent business transformation. You will work in a culture that values curiosity, innovation, and impact while contributing to large-scale transformation programs.