
Lead Data Engineer
4 weeks ago
Are you passionate about data engineering, analytics, and driving insights to support critical business decisions? If you thrive in a dynamic, collaborative, and fast-paced startup environment, we have a fantastic opportunity for you. We are looking for a Data Engineer to lead our data engineering efforts for analytics, handling client interactions, and potentially leading a team in the future.
Responsibilities:
• Lead data engineering projects that foster collaboration across the company to derive insights from diverse data sources, including clickstream, marketing, product funnels, etc., to support pivotal business decisions.
• Develop scalable and extensible data architectural patterns and ETL processes to accommodate our growing user base.
• Contribute to a robust culture of code review and maintain high standards in coding practices
.
• Manage resources efficiently in an Azure or AWS environment using tools like Terraform.
• Integrate new data sources, build innovative tools, and generate new metrics that empower our Product, Marketing, and Data Science teams.
• Apply feature engineering and data enrichment techniques for large-scale consumer and B2B products.
• Enhance data pipelines for improved performance, scalability, and reliability.
Background:
• Bachelor's degree in computer science or equivalent with at least 3 years of professional experience as a Data Engineer or similar role.
• Proficient in distributed processing frameworks like Databricks/Spark, stream processing, and event-driven technologies such as Kafka, including REST and Python APIs.
• Have expertise in Python, Spark, including Spark SQL, DataFrames, Spark Streaming, RDD caching, Spark MLib, and the ability to write, debug, and optimize Spark code.
• Skilled in using Terraform for infrastructure as code.
• A strong DataOps mindset and opinions on innovative warehousing tools and ETL processes.
• Experience in working with cloud platforms such as Azure and AWS.
• Excellent problem-solving and analytical skills.
• Superior written and verbal communication skills in English, capable of translating complex technical topics into clear and concise terms.
• A passion for engineering excellence and tolerance for ambiguity in a fast-paced, startup setting.
• Experience in schema design and data modeling with a focus on creating elegant and intuitive datasets.
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