Senior Data Engineer

📋 Description

• Lead the design and implementation of scalable, secure data architectures for member
• Independently lead complex data engineering initiatives from technical requirements and design
• Design, develop, and optimize production-grade data pipelines and integrations using Databricks
• Build reliable data-loading, reconciliation, retry, idempotency, recovery, and deployment patterns
• Establish data-quality and governance practices, including validation, monitoring, alerts
• Provide technical leadership through design and code reviews, mentor junior engineers, lead complex

🎯 Requirements

• 6+ years of experience in data engineering, with a focus on data architecture, data pipelines, data
• Bachelor's or master's degree in Computer Science, Data Science, Engineering, or a related field
• Strong proficiency in Python/PySpark and SQL.
• Strong leadership, problem-solving, decision-making, and communication skills.
• Strong hands-on experience with Databricks, Apache Spark, Spark SQL, Delta Lake, workflow
• Experience with data quality, observability, alerting, lineage, cloud platforms and services

🎁 Benefits

• Medical, Dental & Vision Insurance
• Provident Fund; Life & Accident Insurance
• Internet, Fuel, Meal & Telephone Allowances