Role overview

Qualifications

5-10 years of experience in data engineering.
Strong expertise in Snowflake Data Warehouse and its components.
Advanced SQL skills (CTEs, window functions, tuning) and Python for pipelines and data processing.
Experience with dbt, AWS Glue/Lambda/S3, Rockset, and Amazon QuickSight for analytics and visualizations.

Responsibilities

Lead and mentor a data engineering team, driving end-to-end data solutions using Snowflake and Python.
Design, develop, and maintain robust ETL/ELT pipelines (dbt, AWS Glue/Lambda/S3) ensuring data integrity and rapid issue resolution.
Collaborate with cross-functional teams and stakeholders to translate business goals into scalable data architectures and dashboards (Amazon QuickSight).
Advance automation, CI/CD practices, data governance, security, and adoption of Big Data technologies to optimize the data platform.

Key facts

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

Other skills

Communication
Team Leadership
Problem Solving

About the company

PointAbout Inc.

PointAbout is now 3Pillar Global. VIsit us at http://www.3pillarglobal.com. You can also follow us on http://www.linkedin.com/company/3pillar-global The company creates iPhone, iPad, Android, Blackberry, and Windows Phone 7 applications for brands as well as enterprise internal use. We've designed and developed native applications for clients like the Social Security Administration, US Army, The Outdoor Channel, PBS, Arinc, the Washington Post, Intelsat, Carfax, Huffington Post, OnStar, Cars.com, and many others. We provide mobile strategy planning, advisory, ideation, mobile product concepting, and feature/release planning for consumer and enterprise mobile.

Company details

Company size501 - 1000

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.