Data Engineering Expert: Crafting Scalable Data Solutions
5 days ago
A pioneering digital branding agency, Hard.Coded, is embarking on a groundbreaking project to redefine the boundaries of digital innovation. Collaborating with industry leaders, we are assembling a high-performance team to design and develop cutting-edge data systems from scratch.
About Role:We seek a skilled SDE-II (Data Engineer) to join our dynamic team. In this role, you will architect, develop, and maintain large-scale data pipelines using Databricks, Spark, and SQL. You'll collaborate closely with cross-functional teams to gather data requirements and contribute to the architecture of our data systems.
Key Responsibilities:- Data Pipeline Development: Design, build, and maintain scalable data pipelines using Databricks, Python, and Spark.
- Data Processing & Transformation: Handle large, complex datasets to ensure efficient data processing and transformations.
- Collaboration: Work with cross-functional teams to gather, understand, and implement data requirements.
- SQL & ETL: Write and optimize SQL queries for data extraction, transformation, and loading (ETL) processes.
- Data Quality & Security: Ensure data accuracy, integrity, and security across all stages of the data lifecycle.
- System Design & Architecture: Contribute to the design and architecture of scalable data systems and solutions.
- Experience: 3+ years of experience in data engineering or a related field.
- Databricks & Spark: Strong expertise in Databricks and distributed data processing with Spark.
- Programming: Proficiency in Python for data engineering tasks.
- SQL Optimization: Solid experience in writing and optimizing complex SQL queries.
- Data Systems Knowledge: Hands-on experience with large-scale data systems and tools.
- Domain Knowledge: Familiarity with Capital Market/Private Equity is a plus.
- Data Visualization: Experience with Tableau for creating insightful data visualizations and reports.
- Impactful Work: Tackle large-scale data engineering challenges that directly influence business outcomes.
- Cutting-Edge Tech Stack: Gain hands-on experience with modern technologies like Databricks, Spark, Python, SQL, and Tableau.
- Collaboration & Growth: Work closely with data, product, and engineering teams in a collaborative environment.
- Career Progression: Thrive in a high-impact, fast-growing domain with ample opportunities for learning and career development.
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