Big data Engineer (Airflow/Snowflake)

Our client is a rapidly growing, automation-led service provider specializing in IT, business process outsourcing (BPO), and consulting services. With a strong focus on digital transformation, cloud solutions, and AI-driven automation, they help businesses optimize operations and enhance customer experiences. Backed by a global workforce of over 32,000 employees, our client fosters a culture of innovation, collaboration, and continuous learning, making it an exciting environment for professionals looking to advance their careers. Committed to excellence, our client serves 31 Fortune 500 companies across industries such as financial services, healthcare, and manufacturing. Their approach is driven by the Automate Everything, Cloudify Everything, and Transform Customer Experiences strategy, ensuring they stay ahead in an evolving digital landscape. As a company that values growth and professional development, our client offers global career opportunities, a dynamic work environment, and exposure to high-impact projects. With 54 offices worldwide and a presence in 39 delivery centers across 28 countries, employees benefit from an international network of expertise and innovation. Their commitment to a ‘customer success, first and always‘ philosophy ensures a rewarding and forward-thinking workplace for driven professionals. We are currently searching for a

Big data Engineer (Airflow/Snowflake) : Responsibilities: Design, build, and maintain ELT pipelines , orchestration, and integrations using

S3, Apache Airflow, DBT Cloud, and Snowflake

within an

AWS cloud environment . Develop modular Python code

for reusable packages, scripting, and automation. Implement and optimize

SQL queries

and

Snowflake data models

for performance and scalability. Deploy container-based services

in AWS with proper

monitoring setup . Integrate and process data

from REST APIs to support analytical and operational needs. Ensure

data quality, governance , and implement

cloud-native troubleshooting practices . Collaborate with cross-functional teams to define and execute data engineering best practices. Requirements: 5+ years

of experience in

data engineering

roles. Proficient in

Python

for scripting, automation, and API interactions. Strong

SQL

skills and

Snowflake expertise , including

performance tuning

and

data modeling . Hands-on experience with

Apache Airflow

for workflow orchestration and monitoring. Experience with

dbt

for modular, version-controlled data transformations. Solid background with

AWS services

such as S3, Lambda, IAM, and CloudWatch. Strong understanding of

data quality , governance, and troubleshooting in cloud environments. Languages Advanced Oral English. Native Spanish. Note: Fully remote. If you meet these qualifications and are pursuing new challenges,

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Sequoia Career’s Page :

https://www.sequoia-connect.com/careers/

Keywords: Big Data Engineer, Data Engineering, ELT Pipelines, Apache Airflow, Snowflake, AWS Cloud, Python, SQL Requirements: 5+ years

of experience in

data engineering

roles. Proficient in

Python

for scripting, automation, and API interactions. Strong

SQL

skills and

Snowflake expertise , including

performance tuning

and

data modeling . Hands-on experience with

Apache Airflow

for workflow orchestration and monitoring. Experience with

dbt

for modular, version-controlled data transformations. Solid background with

AWS services

such as S3, Lambda, IAM, and CloudWatch. Strong understanding of

data quality , governance, and troubleshooting in cloud environments.