Database Engineer

Role Summary

We're hiring a Database Engineer to design, build, and operate reliable data platforms and pipelines. You'll focus on robust ETL / ELT workflows, scalable big data processing, and cloud-first architectures (Azure preferred) that power analytics and applications.

What You'll Do

• Design, build, and maintain ETL / ELT pipelines and data workflows (e.g., Azure Data Factory, Databricks, Spark, ClickHouse, Airflow, etc.).
• Develop and optimize data models, data warehouse / lake / lakehouse schema (partitioning, indexing, clustering, cost / performance tuning, etc.).
• Build scalable batch and streaming processing jobs (Spark / Databricks, Delta Lake; Kafka / Event Hubs a plus).
• Ensure data quality, reliability, and observability (tests, monitoring, alerting, SLAs).
• Implement CI / CD and version control for data assets and pipelines.
• Secure data and environments (IAM / Entra ID, Key Vault, strong tenancy guarantees, encryption, least privilege).
• Collaborate with application, analytics, and platform teams to deliver trustworthy, consumable datasets.

Required Qualifications

Nice to Have

While others say it, we do it : we care . We have great people and we do great work. Just as importantly, we have great relationships with an impressive clientele. Over 1,000 talented, diverse, and career-minded professionals are carving out their role and experiencing a good mix of challenges and opportunities – and we're rooting for them along the way, every day. For more, click : https : / / www.mindteck.com / career / life-at-mindteck.html

Mindteck is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as a qualified individual with a disability, or any other trait protected by law.

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