Delivery Lead - Data Engineers (Snowflake)

We are seeking a highly skilled and Snowflake-certified Data Engineer to design, build, and optimize scalable data solutions. The ideal candidate will have deep expertise in Snowflake architecture, data modeling, and pipeline development, along with a strong understanding of cloud data ecosystems and enterprise data integration.

Desired Skills and experience

ï® Candidates should have a B.E./B.Tech/MCA/MBA in Information Systems, Computer Science or a related field

ï® 6–8 years of experience in data engineering, with at least 3 years on Snowflake.

ï® Snowflake certification (SnowPro Core or Advanced).

ï® Strong proficiency in SQL, Python, and cloud data architecture.

ï® Experience with data orchestration tools (e.g., Airflow, dbt).

ï® Familiarity with CI/CD pipelines and version control (e.g., Git).

ï® Excellent problem-solving and communication skills.

ï® Experience with cloud platforms (AWS, Azure, or GCP).

ï® Exposure to BI tools like Tableau, Power BI, or Looker.

ï® Knowledge of data governance frameworks and compliance standards.

ï® Experience in financial services, healthcare, or other regulated industries.

ï® Ability to manage multiple tasks and priorities effectively.

ï® Excellent communication skills to interact with stakeholders and provide clear updates.

ï® Must possess good verbal and written communication and interpersonal skills

ï® Design and implement scalable data pipelines and ETL/ELT processes using Snowflake.

ï® Develop and maintain data models, schemas, and performance-optimized queries.

ï® Integrate Snowflake with various data sources, APIs, and enterprise platforms.

ï® Ensure data quality, governance, and security across all data workflows.

ï® Collaborate with data analysts, business stakeholders, and engineering teams to deliver reliable data solutions.

ï® Monitor and optimize Snowflake performance, storage, and compute usage.

ï® Automate data workflows using orchestration tools like Airflow or dbt.

ï® Maintain documentation for data architecture, processes, and standards.

ï® Effectively communicate with business and technology partners, peers and stakeholders

ï® Ability to deliver results under demanding timelines to real-world business problems

ï® Ability to work independently and multi-task effectively

ï® Identify and communicate areas for improvement

ï® Demonstrate high attention to detail, should work in a dynamic environment whilst maintaining high quality standards, a natural aptitude to develop good internal working relationships and a flexible work ethic.

ï® Responsible for Quality Checks and adhering to the agreed Service Level Agreement (SLA) / Turn Around Time (TAT)