Data Engineer

Requirements

• 1. Bachelor's (S1) in Computer Science, Information Systems, or Informatics


• 2. Minimum 2 years experience as Data Engineer


• 3. Strong proficiency in Python and SQL.


• 4. Big Data & Architecture → Spark, Hadoop, Kafka, Data Lakehouse, and Apache Iceberg.


• 5. Cloud & DevOps (AWS): S3, Redshift, Glue, EC2, EKS, Git (GitHub/GitLab), and CI/CD (Jenkins).


• 6. Orchestration & Modeling: Apache Airflow, Data Warehousing, Dimensional Modeling (Star/Snowflake schema).


• 7. Governance & Compliance: Data Contracts, Data Entropy (schema change management), and privacy laws (GDPR, UU PDP).


• 8. Design, build, and maintain scalable ETL/ELT pipelines integrating multi-source data into centralized data lakes/warehouses.


• 9. Partner with BI, Data Science, and Analyst teams to deliver clean, modeling-ready datasets.


• 10. Optimize query performance, manage cloud storage/compute costs, monitor pipelines, and troubleshoot bottlenecks.


• 11. Implement data validation/cleansing, maintain technical docs (schemas, data dictionaries), and enforce data security.


• 12. Adhere to SOPs, HSE standards, audit remediations, risk controls, and drive continuous process improvements

Information Technology Services 51-100 employees

Arbeit is an IT-driven, Innovation-obsessed Consulting Firm with years of unparalleled expertise at helping telcos and other telecom-connected enterprises achieve enviable success in their business.

Arbeit is an IT-driven, Innovation-obsessed Consulting Firm with years of unparalleled expertise at helping telcos and other telecom-connected enterprises achieve enviable success in their business.