Role overview

Qualifications

5-10 years of experience in data engineering
Strong experience in Snowflake DWH and its components
Advanced SQL (CTEs, window functions, tuning)
Python for data pipelines and processing

Responsibilities

Lead data engineering projects leveraging Snowflake and Python to deliver scalable data solutions
Design, develop, and optimize ETL/ELT pipelines with a focus on data integrity and root-cause analysis
Architect data lake/warehouse solutions and collaborate with cross-functional teams to meet business goals
Mentor and lead a team of engineers while driving innovation and establishing global standards

Key facts

Remote from: India
Freelance
Senior (5-10 years)
Data Engineer
English

Other skills

Leadership

About the company

3Pillar

3Pillar Global builds breakthrough software products that power digital businesses. 3Pillar is an innovative product development partner whose solutions drive rapid revenue, market share, and customer growth for industry leaders in Software and SaaS, Media and Publishing and Information Services. Leveraging a lean and agile approach, 3Pillar delivers value-generating, digital solutions with specialized product strategy and management, user experience design, as well as software and data engineering expertise across mobile, cloud, and disruptive technologies. For more information on the company and our services, please visit https://www.3pillarglobal.com. For current job openings in North America, APAC, LATAM and EMEA, please visit https://www.3pillarglobal.com/career-opportunities/.

Company details

Company typeLarge

Industry

Company size1001 - 5000

Links

Website LinkedIn See all jobs

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Job description

🌟 Distinguished Tech Innovator:3Pillar warmly extends an invitation for you to join an elite team of visionaries. Beyond software development, we are dedicated to engineering solutions that challenge conventional norms. Envision you: steering projects that redefine urban living, establish new media channels for enterprise companies, or drive innovation in healthcare. Your invaluable expertise will serve as the cornerstone in shaping the future direction of our endeavors.This role transcends the ordinary realms of coding; it's about orchestrating technological marvels that disrupt industries. Seize this extraordinary opportunity to lead a team that is actively shaping the tech landscape for our clients, and sets global standards along the way. 🌍🔥

Minimum Qualification

Experience: 5-10 years of experience in data engineering,

Strong exp in Snowflake DWH and its components

SQL — advanced (CTEs, window fns, tuning)

Amazon QuickSight (BI visualizations)

Python (pipelines, data processing)

Data integrity & root cause analysis

ETL / ELT pipeline development

dbt (data build tool)

AWS Glue / Lambda / S3

Rockset (analytical engine)

SQL-heavy role.

Snowflake critically important.

Amazon QuickSight used to render visualizations for clinical stakeholders.

Additional experience

Data Architecture: Experience designing or optimizing data lake solutions.

Security Practices: Understanding of data security practices, data governance, and compliance for secure data processing.

Automation & CI/CD: Familiarity with CI/CD tools to support automation of deployment and testing.

Big Data Technologies: Knowledge of big data processing tools like Spark, Hive, or related AWS services.

Advanced Analytics: Background in analytics or data science to contribute to more data-driven decision-making.

Cross-Functional Collaboration: Experience collaborating with non-technical teams on business goals and technical solutions.