Deskripsi pekerjaan Data Engineer (ETL) Support Pt Linov Roket Prestasi
Key Responsibilities
Design, develop, and maintain ETL/ELT processes for data extraction, transformation, and loading.
Build, optimize, and manage data pipelines to ensure efficient and reliable data processing.
Develop and maintain SQL scripts, stored procedures, and database objects.
Design and implement data models, data warehouses, and data architectures to support business needs.
Perform data integration across multiple platforms and heterogeneous data sources.
Utilize Apache Spark (PySpark, SparkR, or Scala) for large-scale data processing.
Develop automation solutions for data workflows and integration processes.
Collaborate with business users, analysts, and technical teams to gather requirements and deliver data solutions.
Monitor, troubleshoot, and optimize ETL jobs and data pipelines to ensure performance and reliability.
Ensure data quality, integrity, security, and compliance with organizational standards.
Document technical designs, workflows, and operational procedures.
Requirements
Minimum 1 year of experience in Data Engineering or a related field, or equivalent practical experience.
Diploma or Bachelor's degree in Informatics Engineering, Computer Science, Information Systems, or a related field.
Strong experience with SQL and database development.
Experience using SQL Server Integration Services (SSIS).
Hands-on experience with IBM InfoSphere products, including DataStage, Information Analyzer (IA), Business Process Manager (BPM), Rational Application Developer (RAD/Workbench), Performance Management Edition (PME), and DB2.
Experience with Informatica Data Integration / Informatica PowerCenter or equivalent Informatica solutions.
Experience using Apache Spark for data processing with PySpark, SparkR, or Scala.
Proficiency in Python and/or R programming.
Experience in designing and implementing ETL/ELT processes.
Solid understanding of data modeling, data architecture, and data warehousing concepts.
Knowledge of data integration, information management, data processing, and workflow automation across multiple platforms.
Strong understanding of various database technologies, including relational and non-relational databases.
Strong analytical, problem-solving, and communication skills.
Ability to work independently as well as collaboratively in a team environment.
