Data Engineer

[https://66degrees.com/wp-content/uploads/2025/03/JobPosting-Cover.jpg]

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

We are seeking a highly skilled Cloud Data Engineer to join our Managed Services
team. In this role, you will be the technical backbone for our enterprise
clients, responsible for designing, building, and maintaining high-performance
data platforms using Snowflake and Azure Databricks. You will act as a trusted
advisor, ensuring that our customers' data ecosystems are scalable, secure, and
cost-optimized across multi-cloud environments.

KEY RESPONSIBILITIES

* Platform Engineering: Design and implement end-to-end data lakehouse
architectures using Azure Databricks (Delta Lake),Azure HDInsights and
Snowflake Cloud Data Warehouse.
* Pipeline Development: Build scalable, metadata-driven ETL/ELT pipelines using
Azure Data Factory (ADF), PySpark, and SnowSQL, including ingestion workflows
from HDInsight-managed Hadoop and Kafka clusters.
* Managed Services Support: Provide Tier-3 technical support for client
environments, including performance tuning, complex bug fixes, and
architectural optimizations.
* Multi-Cloud Integration: Oversee data movement and integration strategies
across Azure, AWS, and GCP to ensure seamless "Data Everywhere" capabilities
for clients.
* Cost & Performance Governance: Monitor and optimize Snowflake credit
consumption and Databricks cluster usage to ensure clients receive maximum
ROI.
* Security & Compliance: Implement enterprise-grade security including
Role-Based Access Control (RBAC), Row-Level Security (RLS), and data masking
(Dynamic Data Masking in Snowflake / Unity Catalog in Databricks).

REQUIRED TECHNICAL SKILLSET

Category

Must-Have Skills

Snowflake

Snowpipe, Streams & Tasks, Dynamic Tables, Zero-Copy Cloning, and Snowpark
(Python/Java), Data Sharing.

Azure Databricks

Spark SQL, PySpark, Delta Lake, Unity Catalog, and Medallion Architecture
(Bronze/Silver/Gold)

Orchestration

Azure Data Factory, Airflow, or dbt (Data Build Tool).

Cloud Infrastructure

Azure Data Lake Storage (ADLS Gen2), Azure DevOps (CI/CD), and Terraform/Bicep
for IaC.

Languages

Advanced SQL (Window functions, CTEs) and Python.

EXPERIENCE & QUALIFICATIONS

* Experience: 5+ years in Data Engineering, with at least 3 years of hands-on
experience in both Snowflake and Databricks.
* Managed Services Background: Proven experience supporting external customers
with strict SLAs and complex governance requirements.
* Multi-Cloud (Plus): Direct experience deploying Snowflake or Databricks on
AWS or GCP is highly desirable.
* Certifications (Preferred): * SnowPro Core or Advanced Architect
* Databricks Certified Data Engineer Professional
* Microsoft Certified: Azure Data Engineer Associate (DP-203)

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.