Senior Data Engineer

3 months ago

Bengaluru, India Syscort Full time

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.

(ref:hirist.tech)

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