Data Engineer – Snowflake

6 days ago

Jakarta, Jakarta, Indonesia Second Talent Full time 9,000,000 - 12,000,000 per year

Position:
Data Engineer – Snowflake & Cloud

Location:
Jakarta Selatan, Indonesia (Equity Tower, SCBD)

Contract:
8–12 Months

Notice Period:
Immediate / 2 weeks

About Our Client:

Our client is a fast-growing, innovative company in the data and analytics space, focused on building scalable cloud-based data platforms to empower business and analytics teams. They leverage modern Snowflake architecture and cloud infrastructure to drive data-driven decision-making.

Role Overview:

We are looking for an experienced Data Engineer with strong hands-on expertise in
Snowflake
and cloud platforms (AWS, Azure, or GCP). You will design, implement, and maintain scalable data pipelines, optimize Snowflake performance, and integrate cloud-based datasets to support analytics and business teams.

Key Responsibilities:

  • Design, build, and maintain ETL/ELT pipelines into Snowflake from multiple data sources.
  • Develop and manage Snowflake warehouses, schemas, roles, tasks, Snowpipe, stages, and data marts.
  • Integrate Snowflake with cloud data storage (AWS S3, Azure Blob Storage, or GCP Cloud Storage).
  • Use cloud services (AWS Glue, Azure Data Factory, GCP Cloud Composer, Lambda/Functions) to automate and orchestrate data loading.
  • Optimize query performance, warehouse sizing, credit usage, clustering, and partitioning.
  • Design and maintain data models (star and snowflake schema) and data marts.
  • Implement monitoring, logging, data validation, and error-handling across pipelines.
  • Ensure data governance, security (RBAC/IAM), and documentation best practices.
  • Collaborate with analysts, data scientists, and business teams to deliver clean, reliable datasets.

Must-Have Requirements:

  • 3–5 years of experience as a Data Engineer or Data Warehouse Engineer.
  • Strong hands-on experience with Snowflake (Snowpipe, virtual warehouses, stages, roles, performance tuning).
  • Experience with at least one cloud platform — AWS, Azure, or GCP.
  • Proficient in SQL and one scripting language (Python preferred).
  • Strong understanding of data warehousing, ETL/ELT processes, and data modeling.

Good to Have:

  • Experience with MSSQL, PostgreSQL, or other RDBMS.
  • Familiarity with Airflow, dbt, SSIS, Azure Data Factory, AWS Glue, or similar orchestration tools.
  • Knowledge of Terraform / CloudFormation for automated deployment.
  • Experience with BI tools such as Power BI, Tableau, or Looker.
  • Basic understanding of data governance, masking, encryption, or GDPR compliance.

Soft Skills:

  • Strong analytical and problem-solving skills.
  • Detail-oriented and documentation-focused.
  • Able to communicate clearly with both technical and non-technical teams.
  • Independent, proactive, and collaborative.

Why Join:

  • Work on modern Snowflake + cloud data infrastructure.
  • Opportunity to lead data platform improvements and migrations.
  • Collaborative culture with high ownership and innovation space.

Must-Have Skills:

Snowflake (Snowpipe, virtual warehouses, stages, roles, performance tuning), AWS/Azure/GCP, SQL, Python, ETL/ELT, Data Modeling, Data Warehousing

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