Requirements
- 5+ years’ experience in data engineering.
- Experience designing data pipelines, integration, metadata, and master data management.
- Experience implementing cloud solution, big data strategies, data integration framework, and best practices in practical ways.
- Technical competency and experience working with:
- AWS: S3, Athena, Redshift, DynamoDB, EMR, Lambda, Glue
- GCP: GCS, BigQuery, Pub/Sub, Dataflow
- Code Languages: Python, Java, REST API, Ab Initio (optional) or similar tooling for data engineering & big data.
- Operating Systems: Unix, RedHat, Linux
- Network Protocol: SCP, SFTP, FTP, SSH
- Format Messages: Text, XML, JSON, Protobuf, ASN.1
- Relational Databases: MySQL / PostgreSQL
- Apache Cloudera Ecosystems: Yarn, Hive, Impala, Kafka, Spark
- CI/CD Tool
- Ability to communicate and influence at leadership level with gravitas and conviction.
- Ability to explain complex concepts and present integrated data to the non-technical stakeholders.
- Ability to embrace and adapt changes in a dynamic environment.
- Experience in telecommunication is highly desirable.
Soft Skill
- Business & Market Savvy
- Data Analytics
- Digital Mindset
- Governance
- Innovation and Agility
- Planning & Organizing
- Influencing & Relating
- Building Effective Teams
- Emotional intelligence
- Customer Focus / Customer Centric
Leadership
- Strategic Thinking
- Business Acumen
- Customer Focus / Customer Centric
- Negotiation & Coalition Building
Education
S1 (Strata 1) in Telecommunications or Information Technology
Years Of Experience
6-10 Years
