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.

Originally posted on Himalayas

Senior Data Engineer( Snowflake , Azure)

Job Description