Data Engineer
4 days ago
We are seeking a highly skilled and experienced 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:
4+ years of professional experience in Data Engineering.
Strong hands-on experience with Snowflake (data modelling, 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 .
Job Type: Full-time
Pay: Up to ₹1,500,000.00 per year
Benefits:
- Flexible schedule
- Health insurance
- Leave encashment
- Provident Fund
- Work from home
Application Question(s):
- What is your current CTC, expected CTC & notice period? How many years of relevant experience do you have?
Experience:
- snowflake: 3 years (Preferred)
Work Location: Remote
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