Job
Description
About You 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. Role and Responsibilities 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. Professional Expertise Must-Have Skills: 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. Nice-to-Have Skills: 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). Education Bachelors or masters degree in computer science, Information Systems, or a related field (Advanced degree preferred).
