Snowflake Data Engineer

Randomtrees; Hyderabad, Chennai District; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

A leading tech firm in India is seeking a skilled Snowflake Data Engineering Specialist to design and implement data solutions. The ideal candidate will develop scalable data architectures, optimize workflows with DBT, and ensure data accessibility for actionable insights. Candidates should have experience with Snowflake, SQL, DBT, and Python, along with a strong foundation in cloud platforms like Azure. This role offers the opportunity to work on large-scale data warehousing solutions with a focus on advanced analytics.

Qualifications

• 2+ years of experience in implementing and maintaining data warehousing solutions using Snowflake.
• Experience with SQL for querying, transforming, and analyzing large datasets.
• Good experience in Python programming.

Responsibilities

• Design and implement data solutions that enable personalized customer experiences.
• Develop and maintain large-scale data warehouses on Snowflake.
• Collaborate with cross-functional teams to identify and prioritize project requirements.

Skills

Snowflake

SQL

Python

DBT

Data Modeling Tools

Cloud Platforms

Education

Bachelor's degree in computer science, Information Technology, Data Science, or a related field

Job description

Role: Snowflake Data Engineering Specialist

Overview of the requirement

We are looking for a skilled Data Engineering Specialist to design and implement data solutions. The ideal candidate will have experience with Snowflake, SQL, DBT, Python/Pyspark or any Data modelling tools and Azure/AWS/GCP, along with a strong foundation of Cloud Platforms. You will be responsible for developing scalable, efficient data architectures that enable personalized customer experiences and advanced analytics.

Roles and Responsibilities

• Bachelors degree in computer science, Information Technology, Data Science, or a related field
• 2+ Years of experience in implementing and maintaining data warehousing solutions in Snowflake to handle large‑scale data processing and analytics needs.
• Optimize workflows using DBT to streamline data transformation and modelling processes.
• Optimize workflows using any data modelling tools to streamline data transformation and modelling processes.
• Strong expertise in SQL/PLSQL with hands‑on experience in querying, transforming, and analysing large datasets.
• Good experience in Python programming.
• Expertise with cloud data platforms for large‑scale data processing.
• Solid understanding of data profiling, validation, and cleansing techniques.
• Support both real‑time and batch data integration, ensuring data is accessible for actionable insights and decision‑making.
• Strong understanding of data modelling, ETL/ELT processes, and modern data architecture frameworks.
• Hands‑on experience with Python for data engineering tasks and scripting.
• Collaborate with cross‑functional teams to identify and prioritize project requirements.
• Develop and maintain large‑scale data warehouses on Snowflake.
• Optimize database performance and ensure data quality.
• Troubleshoot and resolve technical issues related to data processing and analysis.
• Participate in code reviews and contribute to improving overall code quality.

Job Requirements

• Strong understanding of data modelling and ETL concepts.
• Experience with Snowflake and any Data Modelling is highly desirable.
• Optimize workflows using DBT to streamline data transformation and modelling processes.
• Hands‑on experience with Python for data engineering tasks and scripting.
• Strong expertise in SQL with hands‑on experience in querying, transforming, and analysing large datasets.
• Expertise with cloud data platforms (Azure preferred) and Big Data technologies for large‑scale data processing.
• Excellent problem‑solving skills and attention to detail.
• Ability to work collaboratively in a team environment.
• Strong communication and interpersonal skills.
• Familiarity with agile development methodologies.