Databricks Architect
Hyderabad, Telangana, India • Penuh Waktu
Jadilah yang pertama mendaftar
- Pengalaman
- 10–15 tahun
- Gaji
- —
- Lowongan
- 1
- Diposting
- 2 jam yang lalu
- Mode kerja
- Di kantor
- Pendidikan
- B.Tech / B.E. in Computer Science and Engineering
- Kelayakan
- Candidates holding a B.Tech or B.E. degree in Computer Science and Engineering (CSE) are eligible to apply.
- Melanjutkan
- Wajib mendaftar
Tempat Anda akan bekerja
Deskripsi pekerjaan
About HTC Global Services
Founded in 1990, HTC Global Services is a prominent IT Solutions and Business Process Outsourcing provider headquartered in Troy, Michigan. The company employs over 6000 skilled professionals and serves a diverse clientele among Global 2000 enterprises. HTC operates multiple delivery centers spanning North America, India, Malaysia, and offices across several countries including the United States, Canada, UK, Europe, Middle East, and Asia Pacific regions. Significant investments have been made to expand facilities and training centers, emphasizing talent development in the US and APAC areas. With ambitious growth and recruitment plans, HTC offers a dynamic environment for career progression within a fast-growing American firm.
Role Summary
The company seeks a seasoned Databricks Architect possessing 10 to 15 years of professional experience. The role involves designing and executing scalable cloud-native data solutions using the Databricks Lakehouse framework. Candidates will demonstrate substantial expertise in handling big data technologies, cloud infrastructure, and data engineering alongside modern analytics methodologies. Leading architectural initiatives and mentoring technical teams will be integral to the position.
Key Responsibilities
- Design and build enterprise-level data platforms leveraging Databricks Lakehouse architecture.
- Create efficient batch and real-time data processing workflows.
- Oversee migration projects transitioning data from legacy systems to Databricks.
- Develop resilient ETL/ELT processes utilizing Apache Spark and Databricks technologies.
- Architect Delta Lake solutions to ensure optimized data storage and analytics performance.
- Engage with business units to capture data and analytics requirements accurately.
- Establish data governance policies, access controls, and security protocols.
- Tune Databricks workloads to enhance both performance and cost-effectiveness.
- Provide mentorship to data engineering teams promoting standard development and deployment practices.
- Collaborate with DevOps to implement continuous integration and deployment pipelines for data workflows.
- Support AI and machine learning teams by enabling scalable feature engineering and model implementation.
Eligibility Criteria
Applicants must hold a B.Tech or B.E. degree in Computer Science and Engineering (CSE).