Data Architecture Engineer

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Hitachi

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Artificial Intelligence • Energy • Transport

Hitachi, Ltd. is a global company that operates in various sectors with a focus on social innovation. Hitachi provides advanced digital solutions, services, and technologies under its brand 'Lumada' to solve customers’ challenges and enhance societal value. The company is committed to sustainability and environmental, social, and governance (ESG) initiatives, aiming to improve quality of life through technologies that foster a sustainable society. Hitachi's products and solutions span digital systems, green energy, mobility, and connective industries, promoting digital transformation of business systems and social infrastructure. Founded in 1910, Hitachi's long-standing dedication to innovation and societal development makes it a leader in driving positive change worldwide.

25801 - 25801 employees

Founded 1910

🤖 Artificial Intelligence

⚡ Energy

🚗 Transport

📋 Description

• Design, develop, and maintain scalable ETL/ELT data pipelines on AWS. • Ingest data from a wide range of sources into centralized Data Lakes and Data Warehouses. • Collaborate with DevOps and ingestion teams to ensure smooth and reliable data delivery. • Monitor production workflows and pipelines, ensuring timely issue detection and resolution. • Ensure adherence to coding best practices and maintain comprehensive documentation. • Support and enhance existing ETL workflows to improve performance and reliability. • Work closely with reporting teams to enable data accessibility via tools like Power BI. • Uphold high standards of data quality, governance, and reliability across the data infrastructure. • Provide strategic nearshore support in the Mexico region to enable 24/7 operational coverage.

🎯 Requirements

• 3-5 years of hands-on experience in data engineering and ETL development. • Good knowledge in Python for data transformation and scripting tasks. • Very strong SQL skills are a must – ability to write complex queries and perform data analysis. • Proven experience working on AWS cloud platform (e.g., S3, Glue, Lambda, EMR, Redshift). • Solid understanding of data lake and data warehouse architectures. • Experience with other cloud platforms (Azure or GCP) is a plus. • Familiarity with data modeling concepts and schema design (Star/Snowflake schema). • Experience integrating with reporting tools like Power BI. • Strong troubleshooting skills and ability to proactively monitor and maintain production systems. • Demonstrated ability to work collaboratively in cross-functional teams across geographies.

🏖️ Benefits

• Industry-leading benefits that go far beyond compensation • Support, services, and resources that also take care of your holistic health and wellbeing • Flexible arrangements that work for you (role and location dependent)