Data Engineer | Hyderabad - Hyderabad @ Teleperformance

Job Description

Role & responsibilities

• Designing, developing, and maintaining scalable and high-performance data pipelines using cloud-based technologies such as Azure Data Factory or Databricks.
• Implementing data ingestion, transformation, and storage processes to support batch and real-time data processing requirements.
• Collaborating with data scientists and analysts to integrate machine learning models and analytical tools into data pipelines for predictive analytics and insights generation.
• Optimizing data workflows and ETL processes to improve performance, reliability, and cost-effectiveness.
• Ensuring data security and privacy by implementing access controls, encryption, and compliance measures across data platforms.
• Providing technical leadership and mentorship to junior data engineers, fostering a culture of innovation, collaboration, and continuous learning.

Preferred candidate profile

• Any Graduate
• 3 to 6 years of experience in data engineering roles, with a proven track record of designing and implementing complex data solutions.
• Strong skills in Azure Data Factory or Databricks, including an understanding of control flow and data flow tasks, with package auditing of data.
• Good understanding of SQL/PySpark programming.
• Ability to program custom scripting tasks for complex assignments (preferably in Python).
• Knowledge of all SQL Server database (T-SQL) tasks, including jobs, data backups and redundancy, and database maintenance (indexing and statistics), or a good understanding of Databricks or Spark.
• Familiarity with DevOps practices, version control systems (e.g., Azure DevOps), and CI/CD

Regards,

Neelam BIjlani

ne***********i@te****************s.com

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