Senior Data Engineer

7 days ago

Singapore NodeFlair Full time

**Job Summary**:
**Job Type**

**Seniority**

Senior

**Years of Experience**
Information not provided

**Tech Stacks**
ETL Snowflake AWS play Analytics Databricks Azure Spark kafka SQL Scala Hadoop Python

Our client is a financial analytics platform backed by some of Indonesia and Singapore's most prominent early-stage VCs.

We are seeking a Senior Data Engineer who will play a pivotal role in architecting and implementing cutting-edge data solutions that power revolutionary products.

Working closely with cross-functional teams, you will leverage the latest technologies, including Databricks, semantic layers, and LLMs, to design, build, and optimise data pipelines that drive actionable insights for customers.

**Your core responsibilities will include**:

- Collaborating with stakeholders to understand data requirements and design scalable, efficient data pipelines.
- Implementing and maintaining ETL processes to ingest, transform, and load data from various sources into our data lakehouse environment.
- Ensuring data quality and integrity throughout the data lifecycle by implementing robust data validation and monitoring processes. Staying current with emerging technologies and best practices in data engineering to continuously improve our data infrastructure.

**Key skills and experience required**:

- Relevant experience in data engineering, focusing on building scalable data pipelines and data warehousing solutions.
- Proficiency in programming languages, such as SQL, Python, or Scala, for data manipulation and automation.
- Hands-on experience with cloud-based data platforms like Databricks, Snowflake, AWS, Azure, or GCP.
- An understanding of data modelling principles and experience with data lakehouse architectures.
- Familiarity with big data technologies, such as Spark, Hadoop, or Kafka, for processing large-scale datasets.
- Excellent problem-solving and communication skills and a proven ability to collaborate effectively across teams and geographies.
- Preferably, knowledge in finance and accounting, including familiarity with financial data structures and reporting requirements.

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