Senior Data Engineer

3 weeks ago

delhi, India Bunker Full time
Join Bunker, an early-stage FP&A SaaS startup poised to revolutionise the corporate finance function. Backed by leading investors like Alpha JWC, January Capital, GFC, and strategic angels including Patrick Walujo of Northstar Group, we leverage deep local insights and a contrarian approach to distinguish ourselves in the crowded fintech sector. With a dedicated team of builders—comprising 5 developers, a robust sales force, and seasoned leadership—we are not just creating software; we're shaping the future of finance through empathy, innovation, and first principles thinking.
As a Senior Data Engineer at Bunker, you will play a pivotal role in architecting and implementing cutting-edge data solutions that power our 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 our customers.
Responsibilities
Collaborate with stakeholders to understand data requirements and design scalable, efficient data pipelines.
Implement and maintain ETL processes to ingest, transform, and load data from various sources into our data lakehouse environment.
Design and optimise data models and schemas to support reporting, analytics, and machine learning applications.
Ensure data quality and integrity throughout the data lifecycle by implementing robust data validation and monitoring processes.
Stay current with emerging technologies and best practices in data engineering to continuously improve our data infrastructure.
Requirements
3+ years of experience in data engineering, with a focus 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, such as Databricks, Snowflake, AWS, Azure, or GCP.
Strong 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, with a proven ability to collaborate effectively across teams and geographies.
(bonus points) Knowledge of finance and accounting domains, including familiarity with financial data structures and reporting requirements.
Our Promise
A dynamic, high-ownership work environment where you can see the impact of your work on a daily basis.
Opportunity to work with a passionate team and build a career defining products in the fintech space.
Support for professional development and continuous learning.

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