Senior Data Engineer

Overview

Understand and analyze client's business requirements to design and implement effective data solutions.

Develop and maintain robust data pipelines, ETL processes, and data warehousing solutions using SQL, Python, and dbt

Design and optimize data models utilizing medallion data architecture and advanced data modeling techniques to support client reporting and analytics needs.

Implement best practices in data engineering to ensure high-quality, reliable, and scalable data solutions.

Collaborate with cross-functional teams to ensure seamless data integration and visualization.

Proactive communications to provide project updates and address any issues or concerns..

Qualifications

7+ years of experience in data engineering or analytics, with a proven track record of successfully delivering end-to-end data solutions.

Proficiency in SQL and Python for data manipulation, transformation, and analysis. Experience with Streamlit is highly desirable.

Experience with data warehouse platforms like Snowflake and Google BigQuery is highly desirable.

Robust understanding of medallion data architecture (Bronze, Silver, Gold layers) and advanced data modeling techniques. Extensive experience with dbt for data transformation and modeling is highly desirable.

Strong problem-solving skills and the ability to adapt to new challenges.

Excellent communication skills and the ability to proactively engage with clients.

Getting things done, knowing how to unblock yourself, communicating, and engaging with customers proactively with minimal supervision.

Job Types: Full-time, Contractual / Temporary
Contract length: 6 months

Pay: ₹1,200,000.00 - ₹1,680,000.00 per year

Benefits:

• Work from home

Schedule:

• Day shift
• Monday to Friday
• US shift

Work Location: Remote