Job Details
We are looking for a Big Data Engineer that will work on the collecting, storing, processing, and analyzing of huge sets of data. The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them. You will also be responsible for integrating them with the architecture used across the company.
Responsibilities
- Selecting and integrating any Big Data tools and frameworks required to provide requested capabilities
- Implementing ETL process
- Monitoring performance and advising any necessary infrastructure changes
- Defining data retention policies
Job Requirements
- Proficient understanding of distributed computing principles
- Proficiency with Hadoop v2, MapReduce, HDFS
- Experience with Spark
- Experience with integration of data from multiple data sources
- Experience with NoSQL databases, such as HBase, Cassandra, MongoDB
- Knowledge of various ETL techniques and frameworks, such as Flume
- Experience with various messaging systems, such as Kafka or RabbitMQ
- Experience with Big Data ML toolkits, such as Mahout, SparkML, or H2O
- Good understanding of Lambda Architecture, along with its advantages and drawbacks
- Experience with Cloudera
- BS or MS in CS
- At least 5 years of experience as software architect for large-scale enterprise software solutions (must have)
- At least 2 years of hands-on experience in Big Data stacks including Hadoop and Spark (must have)
- Working experience in multi-culture/cross-border business environment (must have)
- At least master degree in computer science (preferred)
We offer
- Top market salary
- Monthly salary increase if KPIs met
- Generous comprehensive optional health insurance package for family
- Free premium gym membership
- Free Grab to work
- Housing allowance if moved closer to office