Chief Data Architect

20 hours ago

thrissur, India beBeeDataEngineer Full time

Job Title: Senior Data EngineerLocation: Remote/Will TravelJob Type: Full-timeExperience Level: 8+ yearsSenior Data Engineer Position OverviewWe are seeking an experienced Senior Data Engineer to join our team in designing, building and maintaining a modern data platform on AWS. The ideal candidate will have hands-on experience with cloud-native technologies such as Apache Iceberg, AWS Glue, Redshift and Atlan for governance.This is a key role in transitioning from legacy systems to scalable, cloud-based architectures. If you have strong expertise in data engineering, data pipeline development and AWS services, we would like to hear from you.Key Responsibilities: Design, develop and optimize data pipelines and ETL/ELT workflows on AWS. Migrate legacy data solutions to modern AWS-native services. Implement and manage a data lake architecture using Apache Iceberg and AWS Glue. Work with Redshift for data warehousing solutions including performance tuning and modeling. Apply data quality and observability practices using Soda or similar tools. Ensure data governance and metadata management using Atlan (or other tools like Collibra, Alation). Collaborate with data architects, analysts and business stakeholders to deliver robust data solutions. Build scalable, secure and high-performing data platforms supporting both batch and real-time use cases. Participate in defining and enforcing data engineering best practices.Required Skills and Qualifications 8+ years of experience in data engineering and data pipeline development. Strong expertise with AWS services, especially Redshift, Glue, S3 and Athena. Proven experience with Apache Iceberg or similar open table formats. Experience with legacy tools like Siebel, Talend and Informatica. Knowledge of data governance tools like Atlan, Collibra or Alation. Experience implementing data quality checks using Soda or equivalent. Strong SQL and Python skills; familiarity with Spark is a plus. Solid understanding of data modeling, data warehousing and big data architectures. Strong problem-solving skills and the ability to work in an Agile environment. Expertise in Databricks, including designing and optimizing workflows within the Databricks environment.

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