Data Engineer (Databricks / Snowflake)

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Job Overview

The Data Engineer (Databricks / Snowflake) at TEKsystems is responsible for designing, building, and maintaining robust data pipelines and architectures that facilitate the efficient processing, storage, and retrieval of data. This role involves close collaboration with data scientists, analysts, and other stakeholders to ensure the integrity and availability of data, while also optimizing the performance of data solutions. The ideal candidate will leverage their expertise in Databricks and Snowflake to implement scalable data solutions that drive business intelligence and decision-making processes.

Job Responsibilities

• Design, develop, and maintain data pipelines and ETL processes using Databricks and Snowflake.
• Collaborate with data scientists and analysts to understand data requirements and deliver ready-to-use datasets.
• Optimize data storage and retrieval processes for efficiency and performance.
• Ensure data quality and integrity through validation and monitoring processes.
• Develop and manage data models and data architecture documentation.
• Implement data security measures and ensure compliance with data governance policies.
• Stay updated with new technologies and industry trends related to data engineering.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 3+ years of experience in a Data Engineering role.
• Proficiency in Databricks and Snowflake environments.
• Strong experience in SQL and experience with programming languages such as Python, Java, or Scala.
• Familiarity with data modeling and data warehouse concepts.
• Experience with cloud platforms (AWS, Azure, GCP) is preferred.
• Strong problem-solving skills and attention to detail.

Technologies & Tools

The Data Engineer role at TEKsystems utilizes a variety of technologies and tools, including Databricks for data analytics and machine learning, Snowflake for cloud data warehousing, and various ETL tools for data integration. Familiarity with programming languages such as Python and SQL is essential, alongside experience in using cloud services like AWS or Azure to host and manage data solutions. Proficiency in data visualization tools may also be beneficial for effective data representation.

Ideal Candidates

Ideal candidates for the Data Engineer position at TEKsystems possess strong analytical skills, are detail-oriented, and have a passion for data management and architecture. They exhibit the ability to work collaboratively in a team environment and demonstrate effective communication skills to engage with stakeholders. A proactive mindset in problem-solving and a willingness to learn new technologies are crucial traits that contribute to their success in obtaining insights from complex datasets and driving data-driven decision-making.