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Senior Data Engineer
Zusammenfassung
An expanding HR consultancy firm in Jakarta Selatan is looking for a Data Engineer to build and optimize data pipelines and ensure data consistency. The ideal candidate has 1-4 years of experience with SQL and cloud platforms like AWS or GCP. This role involves collaboration with engineering and business teams to meet specific needs and to design scalable data solutions.
Qualifikationen
- 1-4 years of experience building data pipelines or ingestion.
- Hands-on experience with SQL, Python, Java, or Scala.
- Experience with cloud computing platforms (AWS, GCP, Azure).
Aufgaben
- Connect diverse data sources to ensure data consistency.
- Optimize data pipelines for reporting and design scalable solutions.
- Partner with engineering and business teams for tailored data solutions.
Kenntnisse
Tools
Talent Insider is an upcoming HR Consultancy Service, founded in 2021. Our clients have been some of the leading brands in Indonesia, and this service continues to expand.
Registered in Singapore & Indonesia, we can assist with your growth plans and strategies, and continue to expand our regional presence with strong regional partners to assist our client in recruitment and branding strategy.
- Connect Diverse Data Sources: This Involves Building Bridges Between Various Data Sources, Regardless Of Their Format Or Location.
- Ensure Data Consistency And Quality: Make Sure Data Is Accurate, Complete, And Consistent Across All Platforms And Tools.
- Optimize Data Pipelines For Reporting: Design And Maintain Data Pipelines That Deliver High-quality Data For Timely And Accurate Reporting.
- Partner With Engineering And Business Teams: Work Closely With Other Departments To Build Data Solutions That Meet Their Specific Needs And Requirements.
- Develop Scalable And Optimized Data Solutions: Design Data Infrastructure That Can Grow And Adapt To The Changing Needs Of The Business.
- Over 1-4 years of experience with building the data pipelines or data ingestion for both Batch/Streaming data from different sources to data warehouse / data lake.
- Handson experience/knowledge with SQL/Python/Java/Scala programming, understanding of SQL is a must.
- Experience with any cloud computing platforms like AWS (S3, Lambda functions, RedShift, Athena), GCP (GCS, Dataflow, Dataproc, Pub/Sub, Bigquery), Azure (Blob/Azure, Synapse) etc.
- Experience/knowledge with Big Data tools (Hadoop, Hive, Spark, Presto).
- Data pipelines & orchestration tool (Ozzie, Airflow, Nifi).
* Der Gehaltsbenchmark wird auf Basis der Zielgehälter bei führenden Unternehmen in der jeweiligen Branche ermittelt und dient Premium-Nutzer:innen als Richtlinie zur Bewertung offener Positionen und als Orientierungshilfe bei Gehaltsverhandlungen. Der Gehaltsbenchmark wird nicht direkt vom Unternehmen angegeben. Er kann deutlich über bzw. unter diesem Wert liegen.