Data Engineer II

2 weeks ago

Delhi, Delhi, India tsworks Full time
About This Role

At tsworks, we're seeking a highly skilled and motivated Senior Data Engineer to join our Digital Services Team. As a Senior Data Engineer, you will play a key role in designing, implementing, and managing scalable and efficient data architecture on the Azure cloud platform.

Key Responsibilities
  • Design, implement, and manage data pipelines for efficient data extraction, transformation, and loading (ETL) processes.
  • Develop and maintain data models within Snowflake and related tools to support reporting, analytics, and business intelligence needs.
  • Collaborate with cross-functional teams to understand data requirements and design appropriate data integration solutions.
  • Integrate data from various sources, both internal and external, ensuring data quality and consistency.
  • Ensure data models are designed for scalability, reusability, and flexibility.
  • Implement data quality checks, validations, and monitoring processes to ensure data accuracy and integrity across Azure and Snowflake environments.
  • Adhere to data governance standards and best practices to maintain data security and compliance.
  • Collaborate with data scientists, analysts, and business stakeholders to understand data needs and deliver actionable insights.
  • Provide guidance and mentorship to junior team members to enhance their technical skills.
  • Maintain comprehensive documentation for data pipelines, processes, and architecture within both Azure and Snowflake environments.
Requirements
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 5+ 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 would be an added advantage.
  • 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.

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