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 & Dev Ops (AWS): S3, Redshift, Glue, EC2, EKS, Git (Git Hub/Git Lab), 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.