Data Architect

2 days ago


Dallas, Texas, United States Apexon Full time
Job Description

We are seeking a highly skilled Data Engineer to join our team at Apexon. As a key member of our data engineering team, you will be responsible for designing, developing, and implementing ETL processes on Azure and AWS Cloud using Databricks and PySpark.

Key Responsibilities
  • Design and Develop ETL Processes: Create efficient and scalable ETL processes to extract, transform, and load data from various sources into our data warehouses.
  • Advanced SQL Knowledge: Possess strong SQL skills to write optimized queries for faster data workflows and ensure data integrity.
  • Large Volume Data Handling: Expertly handle large volume data and work with various tools to derive the required solutions.
  • Collaboration and Communication: Work closely with onshore teams, business analysts, and other data engineering teams to ensure alignment of requirements, methodologies, and best practices.
  • Realtime, Change Data Feed, and Unstructured Data: Experience with handling Realtime, Change Data Feed, and Unstructured data is a plus.
Qualifications
  • Education: Bachelor's degree or master's degree in computer science.
  • Experience: 10+ years of hands-on software engineering experience.
  • Technical Skills: Proven work experience in Databricks, Spark, Python, SQL, Any RDBMS.
  • Additional Requirements: Experience with handling Realtime, Change Data Feed, and Unstructured data is a plus.
  • Database Fundamentals: Strong database fundamentals including SQL, performance, and schema design.
  • CI/CD Framework: Understanding of CI/CD framework is an added advantage.
  • Scripting: Ability to interpret/write custom shell scripts. Python scripting is a plus.
  • Cloud Platform: Experience with Azure platform and data bricks/similar platform.
  • Version Control: Experience with Git/Azure DevOps.

To be successful in this role, you should be able to work in a fast-paced agile development environment and have a strong passion for data engineering and cloud computing.


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