Senior Data Engineer - Snowflake & Azure
- tsworks
- 9 - 14 years
- Bengaluru
- 27 days ago
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Job Description
Greetings from tsworks Technologies India Pvt .
we are hiring for Sr. Data Engineer - Snowflake with Azure, if you are interested please share your CV to mo********r@ts****s.io
Position: Senior Data Engineer
Experience: 10+ Years
Location: Bengaluru, India (Hybrid)
Mandatory Required Qualification
- Strong proficiency in Azure data services such as Azure Data Lake Storage Gen 2, Azure Data Factory, Azure Databricks, Fabric Analytics, Azure EventHub, Azure Function App etc.
- Strong hands-on experience building Data Lake-House solutions on Snowflake, and using features such as streams, tasks, dynamic tables, data masking, data exchange etc.
- Hands-on experience using scheduling and orchestration tools such as Apache Airflow, DBT and data governance products such as Collibra
- 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 PySpark (Azure Fabric or Databricks), Snowflake's data processing capabilities, or other relevant tools.
- Hands-on experience working with Data Lake solutions such as Apache Hudi, Delta Lake or Iceberg.
- 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 Azure 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 degree in computer science, Engineering, or a related field.
- 10 + Years of experience in Information Technology, designing, developing and executing solutions.
- 4+ Years of hands-on experience in designing and executing data solutions on Azure and Snowflake cloud platforms as a Data Engineer.
- In-depth knowledge of Microsoft Azure and Fabric platforms and their data services.
- Strong proficiency in PySpark with Fabric or Databricks, with file formats such as Parquet and Avro.
- Proficient in using different features of Snowflake such as Snowpipe Streaming, Streams and Tasks, managing different virtual warehouses and ensuring cost optimization, Notebooks, Native Applications, Streamlit, Data Exchange etc.
- Proficiency using Relational and NoSQL databases.
- Hands-on experience on with streaming technologies such as Kafka and Flink.
- Strong understanding of data warehousing, data lakes, and data integration paradigms such as the Medallion Architecture.
- Knowledge of data quality, governance, and security best practices.
- Knowledge of data modeling and data governance using Snowflake and external tools such as Collibra or Microsoft Purview.
- Hands-on experience with Snowflake Cortex AI features.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills.
- Knowledge of data security and compliance standards.
- Hands-on experience working in an agile setting.
- Self - driven, naturally curious, and able to adapt to a fast-paced work environment.
- Be able to articulate, create, and maintain technical and non-technical documentation.
- Certifications such as Snow Pro Core, Microsoft Certified Azure Data Engineer or Microsoft Certified Fabric Data Engineer is a preferred.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Data Engineer
Employement Type: Full time
Contact Details:
Company: tsworksLocation(s): Bengaluru
+ View Contact
Keyskills: Azure Snowflake Fabric Azure Data Factory Fabric Analytics Gen Azure Data Lake Databricks
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