Data Engineer

1 week ago

Pune, Maharashtra, India The Machine Learning Company Full time ₹ 15,00,000 - ₹ 25,00,000 per year

(Immediate Joiners only)

Job Description – Data Engineer (3–5 Years Experience)

Location:
 Onsite (Pune)

Employment Type:
 Full-time

Experience:
 3 to 5 Years

Department:
 Data Engineering

About The Machine Learning Company (TMLC)

At TMLC
, we build enterprise-grade AI and Data solutions that drive measurable business impact. From predictive analytics to intelligent automation, our teams deliver end-to-end data platforms and AI products for clients across healthcare, BFSI, retail, and manufacturing domains.

We are expanding our 
Data Engineering practice
 and are looking for 
hands-on engineers
 who can design, build, and optimize robust data pipelines and warehousing solutions for large-scale enterprise systems.

Role Overview

As a Data Engineer
, you will be responsible for developing and maintaining data pipelines, integrating multiple data sources, and ensuring efficient data flow into analytical and reporting systems. You will work closely with data scientists, analysts, and business teams to ensure high-quality, scalable data infrastructure that supports advanced analytics and AI use cases.

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.

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