Key Responsibilities:

Develop and maintain scalable, high-performance data pipelines using cutting-edge big data technologies such as Hadoop, Spark, and Kafka
Design and build data warehouses and data lakes to store and organize large volumes of structured and unstructured data
Collaborate with data scientists and analysts to understand data requirements and implement data solutions to support their analyses
Perform data wrangling, cleansing, and transformation to ensure data quality and reliability
Monitor and troubleshoot data pipelines and systems to ensure smooth functioning and availability
Stay updated with industry trends and advancements in big data technologies and incorporate them into our existing infrastructure
Work closely with cross-functional teams to identify data requirements and create data models to support business needs
Create and maintain technical documentation to ensure easy understanding and maintenance of data pipelines and systems

Qualifications:

Bachelor's or Master's degree in Computer Science, Engineering, or a related field
Minimum of 3 years of experience in designing, building, and maintaining big data infrastructure
Strong programming skills in languages such as Java, Python, or Scala
Experience working with big data technologies such as Hadoop, Spark, and Kafka
Proficient in SQL and data modeling
Knowledge of cloud-based data platforms such as AWS, Azure, or Google Cloud
Familiarity with data visualization tools such as Tableau or Power BI
Excellent problem-solving and analytical skills
Strong attention to detail and ability to work in a fast-paced and dynamic environment
Excellent communication and interpersonal skills to work effectively with cross-functional teams

Join us in this exciting opportunity to make a significant impact on our business with your skills and expertise as a Big Data Engineer.

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