Sr. Data Engineer (Snowflake + Python)

Randstad India

Job Location:

Hyderabad - India

Monthly Salary: Not Disclosed

Posted on: 3 days ago

Vacancies: 1 Vacancy

Job Summary

Primary Responsibilities:

Architect and implement scalable enterprise data warehouses using
Snowflake.
Design build and optimize automated data pipelines using Snowflake
connectors SnowPipe and streaming for real-time ingestion.
Develop robust Python frameworks for bulk data ingestion using object-
oriented and metadata-driven design.
Optimize SQL queries and ETL pipelines for high-volume data processing and
performance tuning.
Collaborate with stakeholders analysts and engineering teams to translate
business requirements into scalable technical solutions.
Design and maintain ETL pipelines and integrations to support enterprise
analytics and reporting.
Implement best practices for data modeling ETL processes coding
standards and metadata management.
Optimize Snowflake warehouse configurations to improve performance and
cost efficiency.
Document frameworks processes and technical standards for reusability and
knowledge sharing.

Mentor junior engineers and promote a culture of technical excellence and
continuous improvement.

Required Skills & Qualifications:

Bachelors degree in Computer Science Engineering Mathematics or related
field (or equivalent experience).
8 10 years of experience in data engineering Python development and
SQL programming.
Strong hands-on experience in Snowflake data warehouse development
and management.
Expertise in Snowflake tools such as SnowPipe SnowSQL Time Travel
Zero-Copy Cloning and Secure Data Sharing.
Strong proficiency in Python (OOP concepts) with experience in building
parameter-driven frameworks.
Experience with bulk data processing and high-performance ETL
implementations.
Advanced knowledge of Pandas NumPy and data processing techniques.
Strong understanding of data warehousing concepts ETL pipelines and
relational data modeling.
Hands-on experience with Microsoft Azure cloud services.
Proven ability to optimize SQL queries and Snowflake performance for cost
and efficiency.
Strong analytical problem-solving and communication skills.
Ability to work independently in a fast-paced agile environment while
collaborating effectively with teams.

Primary Responsibilities: Architect and implement scalable enterprise data warehouses using Snowflake. Design build and optimize automated data pipelines using Snowflake connectors SnowPipe and streaming for real-time ingestion. Develop robust Python frameworks for bulk data ingestion ...