Senior Data Engineer

Position Overview
We are seeking an experienced Senior Data Engineer to join one of our clients dynamic team. As a key member of their technology division, you will play a crucial role in designing, implementing, and maintaining robust data infrastructure to support their product offerings. If you are passionate about data engineering, possess strong analytical skills, and have a proven track record of success, we invite you to apply.
Responsibilities

• Collaborate with cross-functional teams to understand data requirements and design scalable data solutions.
• Develop and maintain ETL processes for ingesting, processing, and transforming large volumes of data from various sources.
• Design and implement data models, ensuring data integrity and performance optimization.
• Work closely with data scientists to implement data pipelines that support machine learning and analytics initiatives.
  
• Troubleshoot and optimize existing data infrastructure to ensure reliability and performance.
• Collaborate with DevOps and IT teams to ensure seamless deployment and operation of data systems.
• Stay updated on industry best practices and emerging trends in data engineering.
  

Qualifications

• Bachelors or Masters degree in Computer Science, Information Technology, or related field.
• Proven experience as a Data Engineer with 8-12 years of relevant work experience.

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  Strong proficiency in programming languages such as Python, Java, or Scala.
• Expertise in designing and implementing scalable ETL processes using tools like Apache Spark, Apache Flink, or similar technologies.
• In-depth knowledge of relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra).
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with data warehousing solutions and data modeling techniques.
• Strong problem-solving skills and the ability to work independently and collaboratively in a fast-paced environment.
• Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
  

Skills: cassandra,data engineering,mongodb,aws,problem solving,postgresql,mysql,scala,python,apache flink,nosql,azure,communication,apache spark,etl (any tool),etl,java,data modeling,data warehousing,google cloud