Data Engineer ( exp with MongoDB )

MSBU Konsultan; Cikoko; On-site; IDR 240,000,000 - 420,000,000; Full time

Job summary

MSBU Konsultan seeks an experienced Data Engineer to design, build, and optimize scalable data pipelines for ingestion, processing, and storage of structured and unstructured data. You will work with SQL, ETL tools, and modern data platforms to ensure data quality and performance.

Fluent English is required; immediate joining preferred. Open to contract employment and to work in financial/insurance/banking industries. Jakarta location with full-time on-site work.

Qualifications

• Bachelor's degree in Computer Science or related field or equivalent experience
• Minimum 3 years experience as Data Engineer
• At least 3 years hands-on SQL experience
• Proven ETL skills with SSIS, Talend, Kettle, Pentaho
• Experience with Debezium, Kafka, Flink, Spark
• Proficiency in PostgreSQL, Oracle, SQL, NoSQL, and MongoDB
• Knowledge of ETL, CDC, Event Based Streaming, GraphDB, REST API, Python basics
• Fluent English proficiency
• Proficiency in dbt for data transformation and modelling
• Understanding CI/CD and git-based pipelines
• Understanding of containerised environments (EKS) a plus
• Available to join ASAP; open to contract employment; open to Financial/Insurance/Banking industry

Responsibilities

• Design, develop, and maintain scalable data pipelines for ingestion, processing, and storage of structured and unstructured data
• Implement ETL processes to ensure data quality and integrity
• Develop and optimize database structures for performance and scalability
• Implement indexing, partitioning, and optimization techniques for data storage and retrieval
• Design and implement solutions for processing large data volumes
• Collaborate with data modelers to translate data requirements into data structures
• Ensure alignment with data modeling standards and best practices
• Implement monitoring and alerting for data pipelines reliability
• Placement client: Jakarta, Full WFO

Skills

SQL

ETL processing

Python

English proficiency

CI/CD

Git

Containerised environments

Debezium

Kafka

Flink

Spark

PostgreSQL

NoSQL

MongoDB

Education

Bachelor's degree in Computer Science or related fields

Tools

SSIS

Talend

Kettle

Pentaho

Debezium

Kafka

Flink

Spark

PostgreSQL

Oracle

SQL

Gsql

TG

Python

MongoDB

Job description

MSBU which stands for Managed Service Business Unit was founded in 2019. We deliver IT Talent Solutions for the Future Scalable recruiting and managed solutions. Our competitive advantages of SLA, client-success delivery, and community-based recruitment model are proven through our exemplary track record in filling the most challenging IT positions for startup and enterprise clients alike.

Requirement:

• Bachelor's degree in Computer Science or related fields, or equivalent professional experience
• Minimum 3 years experience as Data Engineer
• Have at least 3 years hands on experience with SQL
• Proven to be skilled at ETL - SSIS / Talend / Kettle / Pentaho Debezium, Kafka, Flink, Spark Postgresql, Oracle Database, SQL, NoSQL, Gsql dan TG, Python, MongoDB (MongoDB is a must)
• Have knowledge of ETL, CDC, Event Based Streaming, GraphDB, REST API, Phyton, Basic Programming
• Good in English proficiency
• Proficiency in dbt for data transformation and modelling
• Understanding CI/CD Concept, practice and git-based version control and pipelines
• Understanding of EKS or Containerised environment is a plus
• Preferably available to join ASAP (As soos as possible)
• OPEN TO CONTRACT EMPLOYMENT
• OPEN TO WORK IN FINANCIAL/INSURANCE/BANKING INDUSTRY

Responsibilities:

• Design, develop, and maintain scalable and efficient data pipeline for ingestion, processing, and storage of structured and unstructured data
• Implement ETL processes to ensure data quality and integrity
• Develop and optimize database structure for performance and scalability
• Implement indexing, partitioning, and other optimization techniques for efficient data storage and retrieval
• Design and implement solutions for procession and analyzing large volumes of data
• Collaborate with data modelers to translate data requirements into effective data structures
• Ensure alignment with data modeling standards and best practices
• Implement monitoring and alerting systems to ensure the reliability of data pipelines

Placement client: Jakarta, Full WFO