Data Architect

Responsibilities • Design, implement, and maintain robust ETL/ELT processes to ingest, clean, and transform data from multiple sources • Process and manage complex datasets to support business and analytical needs • Conduct regular testing and enhancement of data pipelines to improve efficiency • Implement best practices for data validation, testing, and monitoring, proactively identifying and resolving issues to maintain data integrity • Collaborate with software engineers and AI/ ML engineers to ensure seamless data accessibility • Implement best practices for data governance, security, and quality assurance • Document data architectures, lineage, and metadata to ensure transparency and reproducibility Qualifications • 5+ years of experience in data engineering, ETL development, or data warehousing • Demonstrated ability to design and manage ETL/ELT processes using tools like Airflow, Luigi, or dbt to automate data workflows and transformations • Experience with big data architectures and optimizing data pipelines • Deep familiarity with SQL for data manipulation and querying • Strong coding skills in Python, and at least one other language (Scala/Java) • Hands-on experience with cloud-based data platforms (Azure/AWS/GCP) • Strong analytical skills for working with large-scale unstructured datasets • Ability to diagnose data issues, optimize performance, and communicate technical solutions effectively to both technical and non-technical stakeholders • Educational qualifications: Bachelor’s degree in Computer Science, Engineering, or related field required Show more Show less

5+ years of experience in data engineering, ETL development, or data warehousing; Demonstrated ability to design and manage ETL/ELT processes using tools like Airflow, Luigi, or dbt to automate data workflows and transformations; Experience with big data architectures and optimizing data pipelines; Deep familiarity with SQL for data manipulation and querying; Strong coding skills in Python, and at least one other language (Scala/Java); Hands-on experience with cloud-based data platforms (Azure/AWS/GCP); Strong analytical skills for working with large-scale unstructured datasets; Ability to diagnose data issues, optimize performance, and communicate technical solutions effectively to both technical and non-technical stakeholders; Educational qualifications: Bachelor’s degree in Computer Science, Engineering, or related field required

Design, implement, and maintain robust ETL/ELT processes to ingest, clean, and transform data from multiple sources; Process and manage complex datasets to support business and analytical needs; Conduct regular testing and enhancement of data pipelines to improve efficiency; Implement best practices for data validation, testing, and monitoring, proactively identifying and resolving issues to maintain data integrity; Collaborate with software engineers and AI/ML engineers to ensure seamless data accessibility; Implement best practices for data governance, security, and quality assurance; Document data architectures, lineage, and metadata to ensure transparency and reproducibility