Data lead (ETL)- Snowflake, SQL, Python - ATL

Overview:We are looking for a seasoned

Data Lead

with expertise in

ETL (Extract, Transform, Load)

processes to lead data-driven projects and initiatives. The ideal candidate will have a strong background in

Snowflake ,

SQL , and

Python

for efficient data management, transformation, and analysis. You will play a pivotal role in overseeing the design and development of scalable data solutions, ensuring optimal performance and alignment with business needs.Key Responsibilities:Lead the design, development, and maintenance of

ETL pipelines

to support data transformation and integration across various systems.Architect, implement, and optimize

data solutions

on the

Snowflake

platform, ensuring scalability, performance, and reliability.Collaborate with stakeholders to understand business requirements, ensuring the

ETL processes

align with organizational data needs.Develop and maintain complex

SQL queries

to extract, manipulate, and analyze data from multiple sources.Build and automate

data workflows

using

Python

to enhance data transformation and integration tasks.Monitor data quality, consistency, and integrity, implementing error-handling and performance-tuning techniques where necessary.Provide technical leadership and mentorship to junior data engineers and analysts, promoting best practices in ETL and data management.Ensure data governance and security compliance throughout all data processes.Continuously evaluate emerging tools and technologies to enhance the

ETL

process and data platform efficiency.Required Skills and Qualifications:6+ years of experience in

ETL design, development, and implementation .Proficiency in

Snowflake

for data warehousing and advanced analytics.Strong knowledge of

SQL

(including query optimization) and working with relational databases.Expertise in

Python

for building, automating, and optimizing data workflows.Hands-on experience with data integration tools and frameworks (e.g.,

Informatica ,

Talend ,

Airflow , etc.).Familiarity with

data modeling ,

data lakes , and

cloud platforms

like

AWS ,

Azure , or

GCP .Experience with

data governance

and

security best practices .Excellent problem-solving and analytical skills, with a keen attention to detail.Strong communication and collaboration skills, capable of working with cross-functional teams.Preferred Qualifications:Experience with

machine learning

or

advanced analytics .Certifications in

Snowflake ,

AWS , or

Azure .Knowledge of

CI/CD pipelines

and automation tools for data deployments.

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