**About Lamudi**
Our mission is to provide any Indonesian the most trustworthy and reliable way to buy a property. We do this by using technology to empower 10,000+ real estate agents and 100's property developers by connecting them to millions of prospective buyers previously beyond their reach. Lamudi.co.id is a property technology company that aims to enable and support all parties along the property seeking, buying, and selling process from our range of products and services.
**About the Challenge**:
Are you an experienced data engineer who excels in designing and optimizing data models and workflows?
Do you enjoy collaborating with cross-functional teams to translate business objectives into actionable data requirements?
Would others describe you as a technical leader who stays ahead of industry trends and continuously enhances data infrastructure and capabilities? If yes, roll up your sleeves because we have an interesting position for you!
**Overview Role Responsibility**:
We are looking for an experienced and highly motivated Senior Data Engineer to analyze current data structures and workflows, maintain and troubleshoot on-premise data infrastructure, and design and implement optimized data models, schemas, and pipelines to support advanced reporting and analytics.
**What a Day at Work for You Will Look Like**:
- You will analyze current data structures and workflows to identify inefficiencies and opportunities for improvement.
- You will maintain and troubleshoot on-premise data infrastructure.
- You will design and implement optimized data models, schemas, and pipelines to support advanced reporting and analytics.
- You will collaborate with cross-functional teams to understand business objectives and translate them into actionable data requirements.
- You will provide technical leadership and mentorship to internal teams on best practices for data management and architecture.
- You will stay abreast of industry trends and emerging technologies to continuously enhance our data infrastructure and capabilities.
**Is This You?**:
- A go-getter: Leads by example, brings the fire to work every single day.
- A 'why' person: Thinks critically and puts in the additional effort to get to the right conclusion, dares to challenge the status quo and is always on the lookout to improve.
- A spider in the web: Multitasking is your second nature, you thrive dealing with many moving pieces and tying them all up into one harmonious result, to the benefit of your clients.
- 6+ years of experience in Data Warehousing and development using data technologies such as Relational & NoSQL databases, open data formats, building data pipelines (ETL and ELT) with batch or streaming ingestion, loading and transforming data.
- Expert in SQL and/or SQL based languages and performance tuning of SQL queries.
- Strong understanding of Normalized/Dimensional model disciplines and similar data warehousing techniques.
- Strong experience working with ETL/ELT concepts of data integration, consolidation, enrichment, and aggregation.
- Strong understanding of Data Build Tool (DBT).
- Experience with the following cloud platforms: Amazon Web Services (AWS) or Google Cloud Platform (GCP).
- Experience with one or more cloud-based data warehouses - e.g. Snowflake, BigQuery, Synapse, RedShift, etc.
- Experience with PostgreSQL administration - e.g. Streaming Replication, Load Balancing, PG Tuning, etc.
- Experience with Docker and Portainer.
- Grasp of data management principles: Data Lake, Data Mesh, Data Catalog, Data Quality, etc.
- Experience with orchestration tools (Jenkins & Airflow).
- Strong communication skills across different mediums to craft compelling messages to drive action and alignment.
- Comfort with agile delivery methodologies in a fast-paced complex environment - Scrum, SAFe, utilizing tools such as Jira, Confluence, and Bitbucket.
- Proficient in Linux/Unix environments.
- B.S. in Computer Science or a related technical field, or equivalent work experience.
**For Internal Reference**:
- G4C
**Our selection procedure in a nutshell**
The position reports to Group Head of Business Intelligence. During the interview process you will meet her, as well as a few business stakeholders and Management Team members.