Senior/Lead Data Engineer

Job Description You Will Do : - Lead the development of scalable and reliable data systems, including data pipelines, cloud architecture, and data storage solutions for efficient data processing, analytics, and dashboarding. - Ensure that infrastructure supports A/B testing, rapid experimentation, and model integration for AI/ML driven features. - Collaborate with program delivery, design, and platforms teams, as well as internal and external stakeholders, to gather requirements, refine application schemas, develop data models, and design analytics solutions to address business needs. - Design and implement data systems enabling rapid A/B experimentation for testing new features, measuring results, and iterating efficiently. - Oversee the design and implementation of data quality assurance processes to ensure clean, accurate, and consistent data across all products and regions. - Implement data governance and security protocols in compliance with regional regulations to safeguard sensitive data and uphold privacy standards. - Support data analysts and monitoring teams in building and maintaining dashboards to track key metrics and trends, while effectively communicating insights and challenges to relevant stakeholders. - Lead, mentor, and build capacity within the data team by fostering data literacy, enhancing technical expertise, and promoting best practices. Who We Are Looking For : - 8 years of proven experience in data engineering, analysis, data management, or equivalent fields. - Experience in applying basic data science techniques (e.g., statistical modeling) to real-world product challenges, particularly in support of A/B experimentation and rapid feature testing. - Technical expertise in data warehousing solutions, database design, advanced data modeling techniques, SQL, Python, and data manipulation languages (DML). - Hands-on experience with data pipeline and ELT/ETL tools (e.g., Fivetran, Airbyte, dbt), including designing, building, and optimizing scalable data workflows. - Proficiency in cloud-based data warehouse and data processing platforms (e.g., BigQuery, Snowflake, Databricks). - Proven experience in generating actionable insights to inform strategy and product improvements. - 2 years in leadership roles, managing and mentoring a team of data professionals while collaborating with other leaders to achieve shared goals and drive team success. - Strong analytical, problem-solving, and communication skills, with keen attention to detail, self-motivation, and the ability to work effectively both independently and collaboratively within a team environment. (ref:hirist.tech)

Location: bangalore, IN

Posted Date: 5/1/2025