Data Engineer @ BMC Software

You are a self-motivated, proactive individual who thrives in a fast-paced environment. You have a strong eagerness to learn and grow, continuously staying updated with the latest trends and technologies in data engineering. Your passion for collaboration makes you a valuable team player, contributing to a positive work culture while also guiding and mentoring junior team members. Youre excited about problem-solving and have the ability to take ownership of projects from start to finish. With a keen interest in data-driven decision-making, you are ready to work on cutting-edge solutions that have a direct impact on the business.

As a Data Engineer, you will play a crucial role in leading and managing strategic data initiatives across the business. Your responsibilities will include:

• Leading data engineering projects across key business functions, including Marketing, Sales, Customer Success, and Product R&D.
• Developing and maintaining data pipelines to extract, transform, and load (ETL) data into data warehouses or data lakes.
• Designing and implementing ETL processes, ensuring the integrity, scalability, and performance of the data architecture.
• Leading data modeling efforts, ensuring that data is structured for optimal performance and that security best practices are maintained.
• Collaborating with data scientists, analysts, and stakeholders to understand data requirements and provide valuable insights across the customer journey.
• Guiding and mentoring junior engineers, providing technical leadership and ensuring best practices are followed.
• Maintaining documentation for data structures, ETL processes, and data lineage, ensuring clarity and ease of understanding across the team.
• Developing and maintaining data security, compliance, and retention protocols as part of best practice initiatives.

• 5+ years of experience in data engineering, data warehousing, and building enterprise-level data integrations.
• Proficiency in SQL, including query optimization and tuning for relational databases (Snowflake, MS SQL Server, RedShift, etc.).
• 2+ years of experience working with cloud platforms (AWS, GCP, Azure, or OCI).
• Expertise in Python and Spark for data extraction, manipulation, and data pipeline development.
• Experience with structured, semi-structured, and unstructured data formats (JSON, XML, Parquet, CSV).
• Familiarity with version control systems (Git, Bitbucket) and Agile methodologies (Jira).
• Ability to collaborate with data scientists and business analysts, providing data support and insights.
• Proven ability to work effectively in a team setting, balancing multiple projects, and leading initiatives.

• Experience in the SaaS software industry.
• Knowledge of analytics governance, data literacy, and core visualization tools (Tableau, MicroStrategy).
• Familiarity with CRM and marketing automation tools (Salesforce, HubSpot, Eloqua).

• Bachelors or masters degree in computer science, Information Systems, or a related field (Advanced degree preferred).