Databricks Engineer, (Banking)

This job was posted over 30 days ago, so it has most likely closed. See newer jobs like it.

Written by AI from the job title and company, not by ALOIS Solutions, so some details may not match this job. The employer's own page has the real description.

Overview

As a Databricks Engineer at ALOIS Solutions, you will play a critical role in the banking sector by designing, implementing, and optimizing data pipelines and analytical workflows using the Databricks platform. The position demands not only technical expertise but also a deep understanding of banking data architectures to facilitate the accurate processing of large data sets. You will collaborate closely with cross-functional teams to deliver analytics solutions that drive strategic decision-making and enhance operational efficiency within the organization.

Job Responsibilities

• Design and develop scalable data pipelines using Databricks to support banking applications.
• Leverage Apache Spark to process and analyze large volumes of banking data efficiently.
• Collaborate with data scientists, analysts, and business stakeholders to gather requirements and translate them into technical specifications.
• Optimize existing data workflows to improve performance and reduce costs.
• Implement data governance and security best practices to ensure data integrity and compliance with banking regulations.
• Conduct testing and validation of data pipelines to ensure accuracy and reliability of data outputs.
• Provide technical support and training to team members on Databricks and relevant tools.
• Stay updated with the latest trends and advancements in big data technologies, particularly those related to the banking sector.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
• Proven experience as a Databricks Engineer or in a similar data engineering role.
• Strong understanding of Apache Spark, SQL, and data modeling concepts.
• Experience in cloud technologies, particularly Azure or AWS.
• Familiarity with data warehousing solutions and ETL processes.
• Knowledge of programming languages such as Python or Scala.
• Excellent analytical problem-solving skills with attention to detail.
• Strong communication and interpersonal skills to work effectively in a team environment.

Technologies & Tools

The ideal candidate for the Databricks Engineer role will utilize various technologies and tools including Databricks, Apache Spark, Azure Data Lake, SQL databases, and Python or Scala programming environments to construct data pipelines and perform data analysis. Familiarity with BI tools such as Tableau or Power BI is also beneficial in this role to facilitate data visualization and reporting.

Ideal Candidates

The ideal candidates for the Databricks Engineer position are those who possess a passion for data engineering and analytics, coupled with a strong ability to work collaboratively in a fast-paced banking environment. Characteristics such as adaptability, attention to detail, and a proactive approach to problem-solving are essential. Candidates who are eager to learn and stay abreast of evolving technologies in the big data landscape will thrive in this role, contributing to innovative solutions that drive business success.