Senior Data Engineer

Greetings from tsworks Technologies India Pvt

We are hiring for Sr. Data Engineer / Lead Data Engineer, if you are interested please share your CV to mohan.kumar@tsworks.io

About This Role

tsworks Technologies India Private Limited is seeking driven and motivated Senior Data Engineers to join its Digital Services Team. You will get hands-on experience with projects employing industry-leading technologies. This would initially be focused on the operational readiness and maintenance of existing applications and would transition into a build and maintenance role in the long run.

• Position:

  Senior Data Engineer / Lead Data Engineer

• Experience

  : 5 to 11 Years

• Location

  : Bangalore, India / Remote

Mandatory Required Qualification

• Strong proficiency in Azure services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Storage, etc.
• Expertise in DevOps and CI/CD implementation
• Excellent Communication Skills

Skills & Knowledge

• Bachelor's or masters degree in computer science, Engineering, or a related field.
• 5 to 10 Years of experience in Information Technology, designing, developing and executing solutions.
• 3+ Years of hands-on experience in designing and executing data solutions on Azure cloud platforms as a Data Engineer.
• Strong proficiency in Azure services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Storage, etc.
• Familiarity with Snowflake data platform is a good to have experience.
• Hands-on experience in data modelling, batch and real-time pipelines, using Python, Java or JavaScript and experience working with Restful APIs are required.
• Expertise in DevOps and CI/CD implementation.
• Hands-on experience with SQL and NoSQL databases.
• Hands-on experience in data modelling, implementation, and management of OLTP and OLAP systems.
• Experience with data modelling concepts and practices.
• Familiarity with data quality, governance, and security best practices.
• Knowledge of big data technologies such as Hadoop, Spark, or Kafka.
• Familiarity with machine learning concepts and integration of ML pipelines into data workflows
• Hands-on experience working in an Agile setting.
• Is self-driven, naturally curious, and able to adapt to a fast-paced work environment.
• Can articulate, create, and maintain technical and non-technical documentation.
• Public cloud certifications are desired.