We are looking for a highly skilled Senior Data Engineer to join our team on a long-term contract basis. In this role, you will design and implement robust data pipelines and architectures to support data-driven decision-making across the organization. You will work closely with cross-functional teams to deliver scalable, secure, and high-performance data solutions using cutting-edge tools and technologies. This position is based in Dallas, Texas.<br><br>Responsibilities:<br>• Develop and maintain scalable data pipelines using tools like Apache Airflow, NiFi, and Databricks to streamline data ingestion and transformation.<br>• Implement and manage real-time data streaming solutions utilizing Apache Kafka and Flink.<br>• Optimize and oversee data storage systems with technologies such as Hadoop and Amazon S3 to ensure efficiency and scalability.<br>• Establish and enforce data governance, quality, and security protocols through best practices and monitoring systems.<br>• Manage complex workflows and processes across hybrid and multi-cloud environments.<br>• Work with diverse data formats, including Parquet and Avro, to enhance data accessibility and integration.<br>• Troubleshoot and fine-tune distributed data systems to maximize performance and reliability.<br>• Mentor and guide engineers at the beginning of their careers to promote a culture of collaboration and technical excellence.

• Bachelor’s degree in Computer Science, Engineering, or a related discipline.<br>• At least 7 years of experience in data engineering, with a strong background in designing and managing data pipelines.<br>• Proficiency in tools such as Apache Kafka, Airflow, NiFi, Databricks, Spark, Hadoop, Flink, and Amazon S3.<br>• Expertise in programming languages like Python, Scala, or Java for data processing and automation.<br>• Strong knowledge of both relational and NoSQL databases.<br>• Experience with Kubernetes-based data engineering and hybrid cloud environments.<br>• Familiarity with data modeling principles, governance frameworks, and quality assurance processes.<br>• Excellent problem-solving, analytical, and communication skills.

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