Senior Data Integration Engineer

2 weeks ago


Any Location, India Employee Hub LLP Full time

Job Description :


- Design, implement, and manage data integration processes to consolidate data from various sources into our data warehouse.

- Ensure seamless data flow and integration across systems.

- Utilize Snowflake for data storage and processing, optimizing data architecture, and improving query performance.

- Configure and manage Snowflake environments to support business needs.

- Write and optimize complex SQL queries for data extraction, transformation, and loading (ETL).

- Ensure data accuracy and integrity through effective query design and performance tuning.

- Develop and maintain Python scripts and applications for data processing, automation, and ETL tasks.

- Leverage Python libraries and frameworks to enhance data workflows and integrations.

- Design, implement, and maintain ETL processes to extract, transform, and load data from various sources into our data systems.

- Optimize ETL pipelines for performance and reliability.

- Utilize SQL Integration Services (SSIS) for data extraction, transformation, and loading.

- Develop SSIS packages to support data integration and migration tasks.

- Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.

- Communicate effectively with team members and management.

- Identify and resolve issues related to data integration, ETL processes, and system performance.

- Continuously monitor and optimize data pipelines and workflows to ensure efficiency and reliability.


- Stay current with industry trends and technologies related to data engineering.

- Propose and implement improvements to enhance data processes and systems.

Required Skills and Qualifications :

- Bachelor's degree in Computer Science, Information Technology, or a related field.

- Advanced degrees or certifications are a plus.

- 5+ years of experience as a Data Engineer or in a similar role with a focus on data integration, Snowflake, SQL, Python, and ETL processes.

Technical Skills :

- Strong expertise in Snowflake for data warehousing and processing.

- Proficiency in SQL for query development and performance optimization.

- Advanced skills in Python for data processing and ETL automation.

- Experience with ETL tools and processes, including data extraction, transformation, and loading.

- Knowledge of SQL Integration Services (SSIS) for data integration tasks

(ref:hirist.tech)

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