Lead Data Engineer: Lakehouse & AWS Expert

eTeam

Johor

Vor Ort

MYR 60.000 - 90.000

Vollzeit

14 Tage+
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Zusammenfassung

eTeam is seeking a data engineer to consolidate data from multiple enterprise systems, clean and reconcile it, and build robust data pipelines supporting OTIF calculations.

The role requires 5+ years in data engineering, with 2+ years in a technical lead position, strong Python/SQL, Spark/PySpark, and deep AWS experience across S3, Glue, Redshift, Athena, EMR, Lambda, Kinesis, and more. Extended 1-year contract with opportunity for renewal.

Qualifikationen

  • 5+ years of data engineering experience with a leadership track record.
  • Strong Python and SQL skills with hands-on coding.
  • Extensive Spark/PySpark experience for large-scale processing.
  • Deep AWS experience across multiple services and data platforms.
  • Experience designing data lake/lakehouse architectures and ETL/ELT pipelines.
  • Knowledge of CDC, batch and streaming architectures.
  • Familiarity with relational and NoSQL databases and data warehousing concepts.

Aufgaben

  • Consolidate data from multiple enterprise systems into reliable pipelines.
  • Lead technical work and mentor teammates for data engineering tasks.
  • Design and implement data lake/lakehouse solutions supporting OTIF calculations.
  • Ensure data quality, lineage, and scalable architectures.

Kenntnisse

5+ years of data engineering
Technical lead
Python
SQL
Apache Spark
PySpark
Data modeling
Data warehouse concepts
ETL/ELT
CDC
Batch processing
Streaming architectures
Relational databases
NoSQL databases

Tools

AWS S3
AWS Glue
AWS Redshift
AWS Athena
AWS EMR
AWS Lambda
AWS Kinesis
AWS MSK
AWS Step Functions
AWS Lake Formation
Data Lake/Lakehouse
SQL databases
NoSQL databases

Jobbeschreibung

eTeam is seeking a data engineer to consolidate data from multiple enterprise systems, clean and reconcile it, and build robust data pipelines supporting OTIF calculations.

The role requires 5+ years in data engineering, with 2+ years in a technical lead position, strong Python/SQL, Spark/PySpark, and deep AWS experience across S3, Glue, Redshift, Athena, EMR, Lambda, Kinesis, and more. Extended 1-year contract with opportunity for renewal.

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