Data Engineer

Project Role : Data Engineer
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : Data Engineering
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary: seeking a hands-on Senior Engineering Manager of Data Platform to spearhead the development of capabilities that power Vertex products while providing a connected experience for our customers. This role demands a deep engineering background with hands-on experience in building and scaling production-level systems. The ideal candidate will excel in leading teams to deliver high-quality data products and will provide mentorship, guidance, and leadership. In this role, you will work to increase the domain data coverage and adoption of the Data Platform by promoting a connected user experience through data. You will increase data literacy and trust by leading our Data Governance and Master Data Management initiatives. You will contribute to the vision and roadmap of self-serve capabilities through the Data Platform. Roles & Responsibilities: • Be hands-on in leading the development of features that enhance self-service capabilities of our data platform, ensuring the platform is scalable, reliable, and fully aligned with business objectives, and defining and implementing best practices in data architecture, data modeling, and data governance. • Work closely with Product, Engineering, and other departments to ensure the data platform meets business requirements. • Influence cross-functional initiatives related to data tools, governance, and cross-domain data sharing. Ensure technical designs are thoroughly evaluated and aligned with business objectives. • Determine appropriate recruiting of staff to achieve goals and objectives. Interview, recruit, develop and retain top talent. • Manage and mentor a team of engineers, fostering a collaborative and high-performance culture, and encouraging a growth mindset and accountability for outcomes. Interpret how the business strategy links to individual roles and responsibilities. • Provide career development opportunities and establish processes and practices for knowledge sharing and communication. • Partner with external vendors to address issues, and technical challenges. • Stay current with emerging technologies and industry trends in field to ensure the platform remains cutting-edge. Professional & Technical Skills: • 12+ years of hands-on experience in software development (preferably in the data space), with 3+ years of people management experience, demonstrating success in building, growing, and managing multiple teams. • Extensive experience in architecting and building complex data platforms and products. In-depth knowledge of cloud-based services and data tools such as Snowflake, AWS, Azure, with expertise in data ingestion, normalization, and modeling. • Strong experience in building and scaling production-level cloud-based data systems utilizing data ingestion tools like Fivetran, Data Quality and Observability tools like Monte Carlo, Data Catalog like Atlan and Master Data tools like Reltio or Informatica. • Thorough understanding of best practices regarding agile software development and software testing. • Experience of deploying cloud-based applications using automated CI/CD processes and container technologies. • Understanding of security best practices when architecting SaaS applications on cloud Infrastructure. • Ability to understand complex business systems and a willingness to learn and apply new technologies as needed. • Proven ability to influence and deliver high-impact initiatives. Forward-thinking mindset with the ability to define and drive the team’s mission, vision, and long-term strategies. • Excellent leadership skills with a track record of managing teams and collaborating effectively across departments. Strong written and communication skills. • Proven ability to work with and lead remote teams to achieve sustainable long-term success. • “Work together” and “Get Stuff Done” attitude without losing sight of quality, and a sense of responsibility to customers and the team. Additional Information: - The candidate should have a minimum of 12 years of experience in Data Engineering. - This position is based at our Hyderabad office. - A 15 years full-time education is required.