We are seeking an experienced Data Engineer to design, build, and optimize large-scale data platforms that support advanced analytics and reporting. The role involves working closely with cross-functional teams to translate business needs into reliable, scalable data solutions while ensuring data quality, governance, and performance.

Key Responsibilities:

• Analyze existing data structures and workflows to identify inefficiencies and improvement opportunities

• Design and implement optimized data models, schemas, and data pipelines for analytics and reporting

• Build and maintain scalable data platforms including data lakes and data marts

• Collaborate with business and technical teams to define and implement actionable data requirements

• Develop and enforce data governance, quality assurance, and security strategies

• Ensure compliance, reliability, and accuracy of data systems

• Provide technical leadership and mentorship on data architecture and best practices

• Build and maintain monitoring, logging, and alerting for data pipelines

• Ensure data freshness, reliability, and performance

• Establish and maintain SLAs for pipeline performance and data availability

• Stay updated on industry trends and emerging data technologies

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field

• 6+ years of experience architecting and building large-scale data platforms

• Proven experience as a Data Engineer or in a similar role

• Strong background in database design and development

• Proficiency in SQL, data modeling, and ETL processes

• Experience with data lakes, data marts, and analytics platforms

• Knowledge of reporting tools such as Looker, Power BI, or similar

• Experience with Google BigQuery or equivalent data warehouses

• Familiarity with cloud platforms (GCP preferred)

• Experience with big data technologies such as Hadoop and Spark

• Strong problem-solving skills and attention to detail

• Excellent communication and collaboration skills

Nice to Have Skills:

• Experience with event-driven architectures and streaming platforms such as Kafka

• Experience with streaming frameworks like Spark Streaming or Flink

• Knowledge of PostgreSQL

• Experience working with real-time data processing systems