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Senior Data Engineer( Snowflake , Azure)

PointAbout Inc.

Role overview

Qualifications

  • 5+ years of experience as data engineer or similar role
  • Advanced SQL skills and experience with relational databases and database design
  • Strong Python skills with hands-on experience on Pandas, NumPy and other data related libraries
  • Experience working with cloud Data Warehouse solutions (e.g., Snowflake, Redshift, BigQuery, Azure Synapse, etc.)

Responsibilities

  • Understanding the business requirements
  • Writing code and implementing the proposed solutions
  • Creating data pipelines, versioning and change management
  • Develop ETL/ELT processes to help extract and manipulate data from multiple sources.

About the company

PointAbout Inc. logo

PointAbout Inc.

Software Development

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

IndustrySoftware Development
Company size501 - 1000

Links

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Job description

3Pillar is an AI transformation partner on a mission to help enterprises build the AI-native products and intelligent agents that will define the next era of business. With teams across North America, Europe, Latin America, and Asia, we work with the most ambitious companies in financial services, healthcare, media, and technology — helping them move faster, modernize boldly, and compete on their own terms. Our HelixAI platform and Helix Pods delivery model put our engineers at the center of real agentic transformation — doing work that is open, portable, and built to last. We are building the future of enterprise AI
 

Key Responisiobilities

  • Understanding the business requirements

  • Writing code and implementing the proposed solutions

  • Creating data pipelines, versioning and change management

  • Manage the complexity inherent in versioned data pipelines

  • Develop ETL/ELT processes to help extract and manipulate data from multiple sources.

  • Design, build and maintain batch or real-time data pipelines in production.

  • Automate data workflows such as data ingestion, aggregation, and ETL processing.

  • Logging and instrumentation of pipelines and services.

  • Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures.

  • Train and mentor junior engineers.


    • Minimum Qualifications

  • Demonstrated expertise with a minimum of 5+ years of experience as data engineer or similar role

  • Advanced SQL skills and experience with relational databases and database design.

  • Experience working with cloud Data Warehouse solutions (e.g., Snowflake, Redshift, BigQuery, Azure Synapse, etc.).

  • Strong Python skills with hands-on experience on Pandas, NumPy and other data related libraries

  • Experience with Big Data technologies like Spark, Map Reduce, Hadoop, Hive etc

  • Proficiencient in data pipeline and workflow management tools e.g. Airflow

  • Experience with data visualization tools like PowerBI, Tableau, AWS QuickSight etc

  • Experience with the AWS/Azure/GCP data engineering services

  • Knowledge of AWS services viz., S3, Lambda, EMR, GLUE ETL, Athena, RDS, Redshift, EC2, IAM

  • OR

  • Knowledge of Azure services viz., ADF, Azure Synapse Analytics, ADLS Gen2, Azure SQL DB

  • Very good exposure of working on Data Lakes & Data Warehouses solutions

  • Excellent problem-solving, communication, and organizational skills.

  • Proven ability to work independently and with a team.

  • Ability to guide other data engineers.


    • Additional Experience

  • Experience working with data ingestion tools such as Fivetran, stitch, or Matillion.

  • Good understanding of NoSQL databases like Redis, Cassandra, MongoDB, or Neo4j.

  • Familiarity with machine learning technologies.

  • Experience in Java or Scala

    • What It's Like to Work at 3Pillar:

    At 3Pillar, we create an environment where people can do their best work while maintaining a healthy work-life balance.
    • Flexibility & Well-being – Our remote-first approach gives you the flexibility to work where you perform best, while prioritizing your well-being and personal commitments.
    • Global Community – Collaborate with talented colleagues across the globe in a culture built on connection, support, and shared success.
    • Your Voice Matters – We foster open communication and multiple feedback channels, ensuring every employee has the opportunity to be heard and make an impact.
    • Growth & Development – Gain exposure to diverse clients, industries, and challenges that accelerate learning and career growth.

    Our culture is guided by four core values: Collaboration, Outperform, Respect, and Evolve—the principles that shape how we work, grow, and succeed together.

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    MR

    Marcus Rivera

    Chief Revenue Officer

    m.rivera@company.com
    linkedin.com/in/marcusrivera
    Unlocked after you apply
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