Senior Data Engineer

1 month ago


Pune, India Seven N Half Full time

Job Description & Responsibilities :


- Architecting Data Solutions : Design and architect complex Data Warehousing/Data Lake solutions on Snowflake, utilizing the latest technologies.

- Automated Data Processes : Develop scalable, automated processes for data extraction, processing, and analysis within a Data Mesh architecture.

- CI/CD Pipelines : Set up CI/CD pipelines for auto-deployment, while maintaining development, UAT, and production environments.

- Technical Troubleshooting : Identify and resolve technical issues promptly, ensuring seamless data operations.

- Continuous Improvement : Explore ways to enhance data pipelines in terms of both content and delivery methods, contributing to departmental improvement.

- Performance Optimization : Optimize and fine-tune complex SQL queries on Snowflake, demonstrating expertise in various data partition strategies.

- Collaboration with Data Analysts : Work closely with Data Analysts to optimize and ensure the availability of data feeds, incorporating Change Capture, Change Data Control, and other "delta loading" approaches.

- Data Solution Design : Take responsibility for designing solutions related to data integration, data management, metadata management, and data quality.

- Data Transformation and Documentation : Discover, transform, test, deploy, and document data sources effectively.

Requirements Skills :


- You bring 4-6 years of experience, showcasing increasing responsibilities in implementing data solutions with a focus on Snowflake or a similar data warehouse.


- 4+ years of experience in Python.


- You have a deep understanding of Data Warehouse, ETL concepts, and data modeling principles, including Star Schema, Snowflake Schema, Dimension Tables, and Fact Tables.


- Proficient in Cloud-based data solution components and architecture, covering data ingestion, processing, cataloging, security, dev ops, and consumption.


- Experienced in implementing core Snowflake concepts such as data sharing, UDFs, zero copy clones, time travel, micro partition, stored procedures, data import/export, and external tables.


- Strong analytical and problem-solving skills, with the ability to proactively engage with cross-functional teams to resolve issues and blockers.


- Ability to consider alternative solutions/components and make design decisions, backed by justification.


- Excellent communication skills, fostering effective collaboration within the team and across departments.

(ref:hirist.tech)
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