Sr. Associate – Projects

Job Description

Job Summary

We are seeking a highly skilled Sr. Developer with 8 to 12 years of experience to join our team. The ideal candidate will have extensive experience in Databricks SQL Databricks Delta Lake Databricks Workflows and PySpark. The candidate should also have a strong background in Asset & Wealth Management. This role will involve developing and optimizing data solutions to drive business insights and efficiency.

Responsibilities

  • Develop and optimize data solutions using Databricks SQL Databricks Delta Lake Databricks Workflows and PySpark.
  • Oversee the design and implementation of data pipelines to ensure efficient data processing and storage.
  • Provide technical expertise in Asset & Wealth Management to align data solutions with business needs.
  • Collaborate with cross-functional teams to gather requirements and deliver high-quality data solutions.
  • Ensure data quality and integrity through rigorous testing and validation processes.
  • Implement best practices for data security and compliance in line with industry standards.
  • Monitor and troubleshoot data workflows to ensure seamless operation and minimal downtime.
  • Lead efforts to improve data processing performance and scalability.
  • Mentor junior developers and provide guidance on best practices and technical challenges.
  • Stay updated with the latest advancements in Databricks and data engineering technologies.
  • Contribute to the continuous improvement of development processes and methodologies.
  • Communicate effectively with stakeholders to provide updates and gather feedback on data solutions.
  • Document technical specifications and maintain comprehensive project documentation.

Qualifications

  • Possess a strong understanding of Databricks SQL Databricks Delta Lake Databricks Workflows and PySpark.
  • Demonstrate extensive experience in Asset & Wealth Management domain.
  • Exhibit excellent problem-solving skills and attention to detail.
  • Show proficiency in designing and implementing data pipelines.
  • Have a solid understanding of data security and compliance best practices.
  • Display strong communication and collaboration skills.
  • Be capable of mentoring and guiding junior developers.
  • Stay current with industry trends and advancements in data engineering technologies.
  • Be adept at troubleshooting and optimizing data workflows.