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Data Engineer

Data Engineer

The Machine Learning CompanyPune, Maharashtra, India
4 hours ago
Job description

(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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    Data Engineer • Pune, Maharashtra, India

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