Data Engineer

Skills:
Extensive experience as a Data Engineer or similar role, with a focus on hashtag#Scala, hashtag#Java, and hashtag#Python programming languages.
Proven expertise in hashtag#Apache hashtag#Spark, hashtag#HBase, and hashtag#Hive, with the ability to process and manipulate large datasets effectively.
Familiarity with hashtag#AWS services (e.g., hashtag#EMR, hashtag#S3, hashtag#Redshift) is a plus.
Experience with data migration from on-premises to cloud environments is desirable.
A bachelor's degree in Computer Science, Data Science, or a related field (a master's degree is a plus).
Strong problem-solving skills and attention to detail.
Excellent communication and teamwork abilities.

Responsibilities:
Develop Data Processing Solutions: Leverage your expertise in Scala (60%), Java, and Python to design, develop, and maintain data processing solutions that operate at scale, ensuring the efficiency, reliability, and performance of data workflows.
Big Data Mastery: Utilize your in-depth knowledge of Big Data technologies, including Apache Spark, HBase, and Hive, to process and manipulate large datasets efficiently.
Cloud Expertise: If you have experience with AWS, contribute to the migration of data processing systems from on-premises to the cloud, ensuring seamless and secure operations.
Data Migration: Collaborate on data migration initiatives, playing a pivotal role in transitioning data processing and handling systems to modern cloud-based platforms.
Data Handling: Employ best practices in data handling, ensuring the integrity, security, and accessibility of data assets while complying with relevant regulations.