Data Engineer (Python, SQL, Power BI)

Job description

Data Architecture & Modeling:

• Design, build, and maintain robust data systems utilizing Delta Lake and Lakehouse architectures.
• Apply core principles of Data Modeling, Data Warehouse, Data Lake, and Lakehouse frameworks to ensure scalable and efficient data storage and retrieval.

Pipeline Development (ETL/ELT):

• Design and implement automated, high-performance ETL/ELT pipelines to ingest, transform, and clean large-scale datasets from disparate sources.
• Leverage Python and PySpark to develop and optimize distributed data processing jobs.

Data Operations & Platform Optimization:

• Establish frameworks for Data Quality, Monitoring, Logging, Retry mechanisms, and Alerting to ensure pipeline reliability and minimize downtime.
• Proactively monitor and optimize system performance and cloud costs (Performance & Cost optimization) across the data platform, specifically within Databricks.

Cross-Functional Collaboration:

• Partner closely with Data Analysts (DA), Business Analysts (BA), and Data Scientists (DS) to translate complex business requirements into production-ready data assets.

Your skills and experience

• 4+ years of experience as an Analytics Engineer, Data Engineer, or a closely related role.
• Expertise in SQL, including complex queries, performance optimization, and data transformation.
• Strong background in data modeling, including dimensional modeling and analytics engineering best practices.
• Experience in dashboard development and data visualization using BI tools such as Looker, Mode, Hex, or similar.
• Previous experience in a fast-paced, high-growth environment with the ability to adapt and scale analytics solutions.
• Self-starter mindset, capable of independently driving projects from concept to execution with minimal supervision.

Bonus Skills

• Experience with dbt, including building and maintaining analytics workflows.
• Proficiency in Python for data processing and automation.
• Experience with Snowflake administration, performance tuning, and optimization.
• Familiarity with Databricks and cloud-based data platforms.
• Previous experience as an early-stage Analytics Engineer in a high-growth startup or consulting environment

Why you'll love working here

• Competitive salary and performance-based bonuses.
• Opportunities to participate in large-scale digital transformation projects and work with multinational clients.
• Professional and dynamic working environment.