Data Engineer Senior

Design, develop and maintain an infrastructure for streaming, processing and storage of data. Build tools for effective maintenance and monitoring of the data infrastructure.
- Contribute to key data pipeline architecture decisions and lead the implementation of major initiatives.
- Work closely with stakeholders to develop scalable and performant solutions for their data requirements, including extraction, transformation and loading of data from a range of data sources.
- Develop the team's data capabilities - share knowledge, enforce best practices and encourage data-driven decisions.
- Develop data retention policies, backup strategies and ensure that the firm's data is stored redundantly and securely.

JOB REQUIREMENTS
- 3-5 years of experience working as a data engineer
- Experience in Banking Industry is preferred.
- Strong programming skills in languages such as Python, Java, Scala, or similar.
- Experience with distributed computing frameworks like Hadoop, Spark, or Flink.
- Proficiency in designing and maintaining databases (SQL and NoSQL).
- Familiarity with data warehousing solutions and concepts.
- Working knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
- Experience with data modeling, schema design, and optimization techniques.
- Solid understanding of data management best practices and data governance.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration abilities.

**Job Type**: Contract
Contract length: 12 months

**Salary**: Up to Rp12,000,000 per month

**Experience**:

- SQL: 3 years (preferred)
- Hadoop v2, HDFS, and MapReduce.: 3 years (preferred)
- Storm, Spark Streaming: 3 years (preferred)
- Pig, Hive, Spark: 3 years (preferred)
- Protobuf, Thrift, Avro: 3 years (preferred)