India, and will be responsible for managing the design, development, testing, and deployment of data engineering solutions.

Responsibilities

Lead a team of data engineers to develop and implement data engineering solutions
Design and develop scalable, robust, and efficient data pipelines to support business needs
Ensure data quality and integrity by developing and implementing data validation and cleansing processes
Collaborate with cross-functional teams to identify and prioritize data engineering requirements
Manage and optimize data storage and retrieval solutions
Stay up-to-date with emerging data engineering technologies and trends, and recommend new tools and technologies to improve data engineering processes

Skills and Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, or a related field
10-20 years of experience in data engineering, with at least 5 years in a management role
Experience with big data technologies such as Hadoop, Spark, and Kafka
Proficiency in programming languages such as Python, Java, or Scala
Experience with data warehousing and ETL tools such as Informatica, Talend, or DataStage
Strong understanding of database technologies such as SQL, NoSQL, and Oracle
Experience with cloud-based data solutions such as AWS, Azure, or Google Cloud Platform
Excellent leadership, communication, and collaboration skills
Strong problem-solving and analytical skills