Data Engineer

Role Summary: We are seeking a highly skilled Senior Data Engineer to join our team. This role requires deep technical expertise in real-time data streaming, distributed computing, and big data technologies. The successful candidate will have a proven track record of designing and implementing scalable, high-performance data pipelines. As a Senior Data Engineer, you will guide the technical direction of our data infrastructure, mentor our data teams, and ensure robust and scalable data solutions.

Responsibilities:

• Design and implement complex data pipelines for both batch and real-time processing.
• Lead the architectural design of streaming data platforms, ensuring scalability, performance, and data reliability.
• Collaborate with data scientists, analysts, and business stakeholders to gather requirements and translate them into technical specifications.
• Develop and maintain high-quality, maintainable data processing solutions using modern streaming technologies.
• Oversee the development and maintenance of data lakes, data warehouses, and streaming platforms.
• Mentor junior data engineers, fostering a culture of continuous learning and improvement.
• Conduct code reviews to ensure adherence to best practices and data engineering standards.
• Stay abreast of emerging big data technologies and industry trends.
• Optimize data pipelines for maximum throughput and minimal latency.
• Ensure data quality, consistency, and reliability across all data platforms.
• Troubleshoot and debug complex issues in distributed systems.

Must-have Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 5-8 years of experience in data engineering.
• Strong expertise in Apache Spark and Spark Streaming for large-scale data processing.
• Extensive experience with Apache Kafka for real-time data streaming and event processing.
• Proficiency in building and maintaining real-time analytics platforms, particularly with Apache Druid.
• Strong programming skills in Python, Scala, or Java.
• Deep understanding of distributed systems and big data architectures.
• Extensive experience with both batch and stream processing paradigms.
• Strong knowledge of data modeling and optimization techniques.
• Experience with major cloud platforms (AWS, Azure, GCP) and their data services.
• Excellent problem-solving skills and meticulous attention to detail.
• Strong communication and collaborative skills.

Nice-to-have Qualifications:

• Master's degree in Computer Science, Information Technology, or a related field.
• Experience with additional streaming technologies like Apache Flink and Apache Storm.
• Knowledge of data governance and data security best practices.
• Experience deploying real-time machine learning models.
• Familiarity with modern data lake technologies like Delta Lake and Apache Iceberg.
• Experience with NoSQL databases like Cassandra and MongoDB.
• Proficiency in data visualization tools such as Grafana and Kibana.
• Experience with infrastructure-as-code and CI/CD for data pipelines.
• Certifications in relevant cloud platforms or big data technologies.