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Role Overview We are seeking a seasoned Data Engineer to join our team and drive the design, development, and maintenance of scalable data pipelines. Design and implement high-performance data pipelines using Databricks and Kafka. Build and maintain real-time streaming solutions for large-scale data processing. Collaborate with cross-functional teams to integrate data flows into broader systems architecture. Optimize performance, reliability, and scalability of data processing workflows. Ensure data quality, lineage, and compliance across streaming and batch pipelines. Participate in agile development processes and contribute to technical documentation and knowledge sharing. Mandatory Skills and Qualifications 5+ years of experience in data engineering roles with expertise in designing, developing, and maintaining large-scale data systems. Proven expertise with Databricks (Spark, Delta Lake, notebooks, performance tuning) and strong hands-on experience with Apache Kafka (topics, producers/consumers, schema registry). Solid understanding of streaming frameworks (e.g., Spark Structured Streaming, Flink, or similar) and experience with cloud platforms (AWS, Azure, or GCP). Proficiency in Python or Scala for data pipeline development and familiarity with CI/CD pipelines (GitLab, Jenkins) and agile tools (Jira). Exposure to data lakehouse architectures and best practices, including data governance, security, and observability. What We Offer Our organization is committed to fostering a collaborative and innovative work environment that encourages growth, learning, and excellence. As a valued member of our team, you will have opportunities to work on challenging projects, develop your skills, and contribute to the success of our data-driven initiatives. Why Join Us Join a talented team of professionals who share your passion for data engineering and innovation. Contribute to shaping the future of data-driven business solutions and enjoy a dynamic work environment that values collaboration, creativity, and continuous learning.
