Data Engineer

(Immediate Joiners only)

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About The Machine Learning Company (TMLC)

At TMLC

Data Engineering practice

Role Overview

As a Data Engineer

Key Responsibilities

• Design, develop, and maintain 

  ETL / ELT pipelines

   using Python and SQL.
• Build and manage 

  data warehouse models

   (Star/Snowflake schemas, fact/dimension design).
• Ensure 

  data accuracy, consistency, and performance

   across multiple systems.
• Collaborate with AI/ML and BI teams to integrate pipelines with analytical and visualization layers.
• Optimize SQL queries and data workflows for performance and scalability.
• Monitor and troubleshoot data pipelines, ensuring reliability and minimal downtime.
• Contribute to 

  automation and CI/CD

   for data workflows using version control and deployment tools.
• Document data flows, schemas, and best practices for ongoing reference.

Required Skills & Experience

• 3–5 years

   of hands-on experience in 

  Data Engineering or ETL Development.

• Strong expertise in SQL

   (complex joins, stored procedures, performance tuning).
• Proficiency in 

  Python

   for data manipulation and scripting (Pandas, NumPy, etc.).
• Good understanding of 

  Data Warehousing concepts

   — schema design, dimensional modeling, and query optimization.
• Experience with 

  ETL tools or frameworks

   (e.g., Airflow, Apache Beam, Pentaho, Talend).
• Exposure to 

  version control systems (Git)

   and basic CI/CD practices.
• Strong analytical and problem-solving skills with attention to detail.

Preferred / Add-on Skills

• Experience in 

  Google Cloud Platform (GCP)

   — BigQuery, Cloud Storage, Dataflow, Pub/Sub, or Composer.
• Familiarity with 

  data orchestration frameworks

   and cloud-native pipeline deployment.
• Exposure to other cloud ecosystems (AWS, Azure) is a plus.
• Knowledge of 

  data lake architectures

   and 

  API-based data ingestion

  .

Education

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field.

Why Join TMLC

• Work on 

  cutting-edge AI and data platforms

   impacting large enterprises.
• Collaborate with a team of 

  AI engineers, architects, and data scientists.

• Opportunity to grow into cloud or ML engineering roles.

• Competitive compensation and exposure to enterprise-grade, global projects.