Senior Data Engineer

3 weeks ago

Kolkata, India AQB Solutions Pvt Ltd Full time

We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic data team.

The ideal candidate will have deep expertise in Snowflake, dbt (Data Build Tool), and Python, with a strong understanding of data architecture, transformation pipelines, and data quality principles.

You will be instrumental in building and maintaining scalable data pipelines and enabling data-driven decision-making across the organization.

Key Responsibilities :


- Design, develop, and maintain scalable and efficient ETL/ELT pipelines using dbt, Snowflake, and Python.


- Optimize data models and warehouse performance in Snowflake.


- Collaborate with data analysts, scientists, and business teams to understand data needs and deliver high-quality datasets.


- Ensure data quality, governance, and compliance across pipelines.


- Automate data workflows and monitor production jobs to ensure accuracy and reliability.


- Participate in architectural decisions and advocate for best practices in data engineering.


- Maintain documentation of data pipelines, transformations, and data models.


- Mentor junior engineers and contribute to team knowledge sharing.

Required Skills & Qualifications :


- 5+ years of professional experience in Data Engineering.


- Strong hands-on experience with Snowflake (data modeling, performance tuning, security features).


- Proven experience using dbt for data transformation and modeling.


- Proficiency in Python for data engineering tasks and scripting.


- Solid understanding of SQL and experience in building and maintaining complex queries.


- Experience with orchestration tools (e.g., Airflow, Prefect) is a plus.


- Familiarity with version control systems like Git.


- Strong problem-solving skills and attention to detail.


- Excellent communication and teamwork abilities.

Preferred Qualifications :


- Experience working with cloud platforms like AWS, Azure, or GCP.


- Knowledge of data lake architecture and real-time streaming technologies.


- Exposure to CI/CD pipelines for data deployment.


- Experience in agile development methodologies.


(ref:hirist.tech)

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