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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.
Job Responsibility:
Design and implement robust data pipelines and architectures to support data-driven decision-making
Develop and maintain scalable data pipelines using tools like Apache Airflow, NiFi, and Databricks
Implement and manage real-time data streaming solutions utilizing Apache Kafka and Flink
Optimize and oversee data storage systems with technologies such as Hadoop and Amazon S3
Establish and enforce data governance, quality, and security protocols
Manage complex workflows and processes across hybrid and multi-cloud environments
Work with diverse data formats, including Parquet and Avro
Troubleshoot and fine-tune distributed data systems
Mentor and guide engineers at the beginning of their careers
Requirements:
Bachelor's degree in Computer Science, Engineering, or a related discipline
At least 7 years of experience in data engineering
Strong background in designing and managing data pipelines
Proficiency in tools such as Apache Kafka, Airflow, NiFi, Databricks, Spark, Hadoop, Flink, and Amazon S3
Expertise in programming languages like Python, Scala, or Java for data processing and automation
Strong knowledge of both relational and NoSQL databases
Experience with Kubernetes-based data engineering and hybrid cloud environments
Familiarity with data modeling principles, governance frameworks, and quality assurance processes
Excellent problem-solving, analytical, and communication skills
What we offer:
Medical, vision, dental, and life and disability insurance
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