Vaco Binary Semantics - SAP Datasphere Consultant - Data Engineering (7-10 yrs)

Company Description :

Vaco Binary Semantics, a part of Vaco, offers managed services and staffing solutions globally.

With over 35 offices worldwide and 150 locations in India, we provide tailored support across various domains.

Our services span technology, business operations, artificial intelligence, machine learning, and talent solutions, all delivered sustainably and ethically.

Job Title : Sr. Data Engineer with DataSphere.

Location : Hybrid Hyd/NCR.

Job Type : Fulltime.

Notice Period : 30 to 45 days (Should be able to start in Jan first week).

Years of experience : 7-10 years.

Shift Timings : 01:00 PM 10:00 PM.

Overview :

We are seeking a highly skilled Sr. Data Engineer with 7-10 years of experience in data engineering, people management, and hands-on expertise in Python, Databricks, DataSphere, Azure (MS Stack), and PySpark.

This role involves leading the design and development of robust data pipelines, managing cross-functional teams, and delivering scalable solutions in a cloud-based environment.

The ideal candidate will possess a blend of leadership and technical skills to drive high-impact projects while ensuring team success.

Required Skills :

Core Skills :

- Proficiency in Python for data engineering and analytics.

- Hands-on experience with Databricks and DataSphere for building and managing large-scale data systems.

- Expertise in Azure (MS Stack) services such as Azure Data Factory, Azure Synapse, and Azure Data Lake.

- Strong knowledge of PySpark for distributed data processing.

Leadership Skills :

- Proven experience in people management with the ability to lead high-performing teams.

- Excellent communication and interpersonal skills to foster collaboration and stakeholder engagement.

Preferred Qualifications :

- Certifications : Azure Data Engineer Associate, Databricks Certified Professional, or equivalent.

- Experience with containerization (Docker) and orchestration tools (Kubernetes).

- Knowledge of big data architectures and streaming frameworks.