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Lead Data Engineer

🇮🇳 India

Management

Python

MySQL

MongoDB

Snowflake

Machine Learning

Design

SQL

Mental Health

Lead Data Engineer

from 🇮🇳 India

Key Responsibilities:

  • 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.

Job Description: Data Engineer

  • NoSQL-to-RDBMS Mapping: Flatten and normalize complex, nested JSON data from MongoDB into structured relational tables.
  • Pipeline Development: Build and manage reliable ETL pipelines to ingest data from MongoDB, process it via Snowflake, and load it into MySQL.
  • Database Optimization: Design, index, and tune target MySQL databases to ensure high performance and strict data integrity.
  • Snowflake Utilization: Leverage Snowflake's variant handling capabilities to efficiently stage, parse, and transform semi-structured data.
  • Technical Stack: Proficiency in MongoDB, MySQL, Snowflake SQL, good to have Python (including ETL frameworks like rivery or informatica).

What is it like working for 3Pillar Global?

At 3Pillar, we offer a world of opportunity:

  • Imagine aflexible work environment– whether it's the office, your home, or a blend of both. From interviews to onboarding, we embody a remote-first approach. 

  • You will be part of aglobal team, learning from top talent around the world and across cultures, speaking English everyday. Our global workforce enables our team to leverage global resources to accomplish our work in efficient and effective teams. 

  • We’re big on your well-being – as a company, we spend a whole trimester in our annual cycle focused on wellbeing. Whether it is taking advantage of fitness offerings, mental health plans (country-dependent), or simply leveraging generous time off, we want all of our team members operating at their best.

  • Our professional services model enables us toaccelerate career growth and development opportunities - across projects, offerings, and industries.

  • We are an equal opportunity employer.It goes without saying that we live by values like Intrinsic Dignity and Open Collaboration to create cutting-edge technology AND reinforce our commitment to diversity - globally and locally. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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by @maxrusakovic