Data Engineer at 66degrees

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

07 Sep, 26

Salary

0.0

Posted On

09 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AWS, Snowflake, Data Engineering, Python, ETL/ELT, Data Modeling, Terraform, Ansible, Git, Kinesis, MSK, AWS Glue, AWS EMR, S3, Cloud Architecture, Data Governance

Industry

Business Consulting and Services

Description

Overview of 66degrees 66degrees is an end-to-end AI transformation partner that guides enterprises from complex business challenges to clear, quantifiable outcomes. Our company is the culmination of several successful firms, each a leader in its own right in cloud, artificial intelligence, and data. This convergence of talent and expertise is how we help businesses reach their own "inflection point," where chaotic data becomes a strategic asset, complexity becomes clarity, and AI becomes an engine for growth. Our ultimate vision is to be the catalyst for a future where every business operates as an intelligent enterprise, with autonomous systems unlocking human potential. At 66degrees, we believe in thriving through challenges and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way. Overview of Role 66degrees is looking for smart, energetic, and personable technology business professionals for a Data Engineer position. As a Cloud Data Engineer you will be a part of data management and engineering projects within AWS environments, including migrating, analyzing, and managing data structures within AWS. Assist in the design, definition, development, and testing of AWS data solution components. Capable of quickly adapting and building plans around migrating data from legacy applications, you will work closely with the AWS Security Team and other SME roles to ensure datastores are protected. Responsibilities: Lead data management and engineering projects within AWS environments, including migrating, analyzing, and managing data structures, as well as designing, developing, testing, and implementing AWS data solutions, with a focus on Snowflake cloud data warehousing. Design, implement, and optimize data warehousing solutions using Snowflake, leveraging key features like Time Travel, Zero-Copy Cloning, and Snowpipe. Guide customers on all aspects of data handling on AWS, including ingestion, storage (S3), processing (Glue, EMR), analysis, and visualization. Collaborate with technical and business leads to translate business requirements into effective AWS and Snowflake solutions and implementations. Partner with data scientists, software engineers, and other stakeholders to support data acquisition, solution design, implementation, and ongoing maintenance. Design and implement data pipelines for batch, micro-batch, and real-time data streams, utilizing AWS services like Kinesis or MSK, and ensuring seamless integration with Snowflake. Ensure data quality by implementing data quality rules and test cases. Work closely with the AWS Security Team to ensure datastores and Snowflake environments are protected and adhere to compliance standards. Liaise with clients to gather requirements and ensure successful project completion. Conduct client workshops to identify data sources, flows, and requirements, as well as shape their future data strategy through future state architectures, roadmaps, and implementation plans. Develop logical data models and schemas for various business domains and industries, optimizing for Snowflake's architecture. Demonstrate expertise in data modeling, database design, AWS cloud architecture, and Snowflake data infrastructure management. Qualifications: 5+ years of experience in data engineering, cloud architecture, or data infrastructure. 3+ years of experience working with AWS. Experience with AWS managed data services. Experience with relational databases, legacy database/application migration, and extensive experience with Snowflake cloud data warehouse platform. Proven ability to develop logical data models, ETL/ELT processes, and related documentation. Mastery of data modeling concepts, large-scale database implementations, and design patterns. Experience working with structured, semi-structured, and unstructured data sources. Strong analytical, problem-solving, and troubleshooting skills. Excellent written and oral communication skills. Hands on experience with Python, GIT Infrastructure as Code experience (Terraform, Ansible, etc.) Experience with Deploying a Data Governance Program is a plus. 66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status or other legally protected class. AI Transparency & Disclosure As an AI transformation partner, 66degrees leverages intelligent solutions to enhance our recruitment experience. We utilize AI tools—including LinkedIn Recruiter’s Hiring Assistant and interview transcription technologies—to assist with sourcing, role analysis, and capturing interview highlights. These tools augment our process, but we "Commit to Our Craft" by ensuring all final hiring decisions are made by our human Talent Team. By applying, you acknowledge the use of these technologies to help us "Win Together" in finding the best fit for our team.

Responsibilities

Lead the design, development, and implementation of AWS data solutions with a heavy focus on Snowflake cloud data warehousing. Collaborate with stakeholders to build data pipelines for batch and real-time streams while ensuring data quality and security compliance.