Snowflake Data Engineer

Medium; Remote; IDR 200.000.000 - 300.000.000; Full time

Job summary

A partner company is seeking a Remote Snowflake Data Engineer. This role involves creating and managing data pipelines, collaborating with various teams, and utilizing advanced analytics tools. Candidates should have over 8 years of IT experience, including expertise in SQL and data integration technologies. The position offers flexibility, competitive salary, and opportunities for professional development, making it ideal for those passionate about data architecture.

Benefits

Flexible work schedule

Collaborative work environment

Health and wellness benefits

Professional development opportunities

Qualifications

• At least 8 years of IT experience, with 4 years in data management disciplines.
• Ability to design and manage data pipelines and architectures.
• Experience with cloud services and containerization.

Responsibilities

• Build data pipelines for various data structures.
• Drive automation through effective metadata management.
• Collaborate across departments to facilitate data use.

Skills

Data pipeline design

Analytics tools (R, Python, Java)

SQL

ETL/ELT technologies

Streaming technologies (Kafka)

BI tools (Tableau, Power BI)

Cloud services (Docker, Kubernetes)

Leadership and communication skills

Job description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Remote Snowflake Data Engineer. In this role, you will be responsible for creating and managing data pipelines that support data integration and transformation processes. You will have the opportunity to work with advanced analytics tools and methodologies, contributing significantly to our data management strategies. Your expertise will help your team refine data-driven insights, enhancing overall business performance. This role requires strong collaboration with data science, operations, and engineering teams to streamline data handling and reporting. If you are passionate about data architecture and enjoy working remotely, this position is for you.

Accountabilities

• Build data pipelines for various data structures
• Drive automation through effective metadata management
• Learn and apply modern data preparation and integration techniques
• Track data consumption patterns
• Monitor schema changes and recommend integration flows
• Collaborate across departments to facilitate data use
• Train peers on data pipelining techniques
• Ensure compliance and governance during data use

Requirements

• At least 8 years of IT experience and 4 years in data management disciplines
• Strong experience with analytics tools using R, Python, Java, etc.
• Ability to design and manage data pipelines and architectures
• Experience with SQL, Blob Storage, and SAP HANA
• Proficient in various data integration technologies like ETL/ELT
• Strong skills in streaming technologies like Kafka
• Experience with BI tools such as Tableau and Power BI
• Familiarity with cloud services and containerization (Docker, Kubernetes)
• Ability to prioritize tasks and manage time effectively
• Strong leadership and communication skills

Benefits

• Flexible work schedule and remote work options
• Opportunity to work on innovative data projects
• Collaborative and inclusive work environment
• Professional development and training opportunities
• Access to modern data tools and technologies
• Health and wellness benefits
• Competitive salary and performance-based bonuses

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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