Lead Data Engineer

We are Urgent Hiring for opening-
Lead Data Engineer:Snowflake

Experience -
7 years to 10 years

Mandate Skills -  
Snowflake, Data Ingestion, SnowSight, SnowSQL, ADF,SQL, Medallion Architecture, Team Handling exp.

Location - 
Hyderabad / Chennai

Mode -
Hybrid ( 7days in a month)

Notice Period - 
Immediate Joiner to 15 Days

Job Summary:

We are seeking an experienced Lead Snowflake Data Engineer to join our Data & Analytics team. This role involves designing, implementing, and optimizing Snowflake-based data solutions while providing strategic direction and leadership to a team of junior and mid-level data engineers. The ideal candidate will have deep expertise in Snowflake, cloud data platforms, ETL/ELT processes, and Medallion data architecture best practices. The lead data engineer role has a strong focus on performance optimization, security, scalability, and Snowflake credit control and management. This is a tactical role requiring independent in-depth data analysis and data discovery to understand our existing source systems, fact and dimension data models, and implement an enterprise data warehouse solution in Snowflake.

Essential Functions and Tasks:

· Lead the design, development, and maintenance of a scalable Snowflake data solution serving our enterprise data & analytics team.

· Architect and implement data pipelines, ETL/ELT workflows, and data warehouse solutions using Snowflake and related technologies.

· Optimize Snowflake database performance, storage, and security.

· Provide guidance on Snowflake best practices

· Collaborate with cross-functional teams of data analysts, business analysts, data scientists, and software engineers, to define and implement data solutions.

· Ensure data quality, integrity, and governance across the organization.

· Provide technical leadership and mentorship to junior and mid-level data engineers.

· Troubleshoot and resolve data-related issues, ensuring high availability and performance of the data platform.

Education and Experience Requirements:

· Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.

· years of experience in-depth data engineering, with at least 3+ minimum years of dedicated experience engineering solutions in a Snowflake environment.

· Tactical expertise in ANSI SQL, performance tuning, and data modeling techniques.

· Strong experience with cloud platforms (preference to Azure) and their data services.

· Proficiency in ETL/ELT development using tools such as Azure Data Factory, dbt, Matillion, Talend, or Fivetran.

· Hands-on experience with scripting languages like Python for data processing.

· Strong understanding of data governance, security, and compliance best practices.

· Snowflake SnowPro certification; preference to the engineering course path.

· Experience with CI/CD pipelines, DevOps practices, and Infrastructure as Code (IaC).

· Knowledge of streaming data processing frameworks such as Apache Kafka or Spark Streaming.

· Familiarity with BI and visualization tools such as PowerBI

Knowledge, Skills, and Abilities:

· Familiarity working in an agile scrum team, including sprint planning, daily stand-ups, backlog grooming, and retrospectives.

· Ability to self-manage large complex deliverables and document user stories and tasks through Azure Dev Ops.

· Personal accountability to committed sprint user stories and tasks

· Strong analytical and problem-solving skills with the ability to handle complex data challenges

· Ability to read, understand, and apply state/federal laws, regulations, and policies.

Kindly share your updated resume or convey in your network.

Thanks & Regards

Ankita Jaiswal

ankita.-