
Chief Data Architect
9 hours ago
Embark on a career in data engineering
We are seeking an experienced Data Engineer to play a key role in designing and developing scalable data pipelines using Spark, Snowflake, and Azure services.
- Develop scalable pipelines to efficiently process and transform data using Spark.
- Design and develop a robust framework for generating PDF reports using Python and Spark.
- Utilize Snowflake Spark SQL to perform aggregations on high volumes of data.
- Develop stored procedures, views, indexes, triggers, and functions in the Snowflake database to maintain data and share it with downstream applications via APIs.
- Leverage Azure Databricks and Datalake for data processing and storage.
- Develop APIs using Python's Flask framework to support front-end applications.
- Collaborate with architects and business stakeholders to understand reporting requirements.
- Maintain and improve existing reporting pipelines and infrastructure.
Key Requirements:
- Proven experience as a Data Engineer with a strong understanding of data pipelines and ETL processes.
- Proficiency in Python with experience in data manipulation libraries such as Pandas and Numpy.
- Experience with SQL, Snowflake, Spark for data querying and aggregations.
- Familiarity with Azure cloud services such as Data Factory, Databricks, and Datalake.
- Experience developing APIs using frameworks like Flask is a plus.
Why Choose This Role?
- Work in industry-leading implementations for top clients.
- Accelerated career growth and global exposure.
- Collaborative work environment rooted in innovation.
- Exposure to best-in-class automation framework.
- Innovation-first culture: We focus on automation, AI insights, and clean data.
This role offers a competitive salary, comprehensive benefits package, and opportunities for professional growth and development.
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