Director Data Engineering
- Hyderabad, Telangana
- Permanent
- Full-time
- Our solutions know no limits, we have proven experience delivering market-leading MSP, RPO, Total Talent, and Services Procurement Solutions including technology, talent marketing, talent intelligence, and workforce consulting services.
- We create the best talent experience, from attraction to onboarding and onto ongoing career development, we understand the human and digital touchpoints that compel talent to join and stay with a company.
- We know where the talent of tomorrow is, how they behave, what they are looking for, and how to build their loyalty toward a specific company employer brand.
- We push the boundaries of our industry to be able to see around the corner for our clients, continually investing in innovation to stay ahead in our market.
- Build and manage a team of talented data managers and engineers with the ability to not only keep up with, but also pioneer, in this space
- Collaborate with and influence leadership to directly impact company strategy and direction
- Develop new techniques and data pipelines that will enable various insights for internal and external customers
- Develop deep partnerships with client implementation teams, engineering and product teams to deliver on major cross-functional measurements and testing
- Communicate effectively to all levels of the organization, including executives
- Provide success in partnering teams with dramatically varying backgrounds, from the highly technical to the highly creative
- Design a data engineering roadmap and execute the vision behind it
- Hire, lead, and mentor a world-class data team
- Partner with other business areas to co-author and co-drive strategies on our shared roadmap
- Oversee the movement of large amounts of data into our data lake
- Establish a customer-centric approach and synthesize customer needs
- Own end-to-end pipelines and destinations for the transfer and storage of all data
- Manage 3rd-party resources and critical data integration vendors
- Promote a culture that drives autonomy, responsibility, perfection and mastery.
- Maintain and optimize software and cloud expenses to meet financial goals of the company
- Provide technical leadership to the team in design and architecture of data products and drive change across process, practices, and technology within the organization
- Work with engineering managers and functional leads to set direction and ambitious goals for the Engineering department
- Ensure data quality, security, and accessibility across the organization
- 10+ years of experience in data engineering
- 5+ years of experience leading data teams of 30+ resources or more, including selection of talent planning / allocating resources across multiple geographies and functions.
- 5+ years of experience with GCP tools and technologies, specifically, Google BigQuery, Google cloud composer, Dataflow, Dataform, etc.
- Experience creating large-scale data engineering pipelines, data-based decision-making and quantitative analysis tools and software
- Experience with hands-on to code version control systems (git)
- Experience with CICD, data architectures, pipelines, quality, and code management
- Experience with complex, high volume, multi-dimensional data, based on unstructured, structured, and streaming datasets
- Experience with SQL and NoSQL databases
- Experience creating, testing, and supporting production software and systems
- Proven track record of identifying and resolving performance bottlenecks for production systems
- Experience designing and developing data lake, data warehouse, ETL and task orchestrating systems
- Strong leadership, communication, time management and interpersonal skills
- Proven architectural skills in data engineering
- Experience leading teams developing production-grade data pipelines on large datasets
- Experience designing a large data lake and lake house experience, managing data flows that integrate information from various sources into a common pool implementing data pipelines based on the ETL model
- Experience with common data languages (e.g. Python, Scala) and data warehouses (e.g. Redshift, BigQuery, Snowflake, Databricks)
- Extensive experience on cloud tools and technologies - GCP preferred
- Experience managing real-time data pipelines
- Successful track record and demonstrated thought-leadership and cross-functional influence and partnership within an agile / water-fall development environment.
- Experience in regulated industries or with compliance frameworks (e.g., SOC 2, ISO 27001).
- HR services industry experience
- Experience in data science, including predictive modeling
- Experience leading teams across multiple geographies