Senior Data Engineer
3 weeks ago
Job Title : Senior Data Engineer.
Timeline : Immediate only.
Experience : 8+Years.
Location : Bangalore.
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.
In This Role, You Will :
- Design, implement, and manage scalable and efficient data architecture on the Azure cloud platform.
- Develop and maintain data pipelines for efficient data extraction, transformation, and loading (ETL) processes.
- Perform complex data transformations and processing using Azure Data Factory, Azure Databricks, Snowflake's data processing capabilities, or other relevant tools.
- 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.
- Handling performance optimization in ADF and Snowflake platforms.
- 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 including best practices, standards, and procedures.
Skills & Knowledge :
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 8 + 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.
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