Job Description :
We're looking for a Data Engineering professional with a strong foundation in AI / ML to build and optimize scalable data pipelines, support machine learning workflows , and drive data-centric innovations. The ideal candidate should be passionate about handling large data sets, automating workflows, and enabling data science capabilities in a modern cloud environment.
Education : BE / B.Tech, BCA / MCA, BSc / MSc in Computer Science, IT, or related field.
Experience : 38 years in Data Engineering with AI / ML expertise
Location : Goregaon, Mumbai (5 days' from Office)
Required Skills & Tech Stack :
- Strong programming skills in Python, SQL ; hands-on experience with PySpark or Scala .
- Familiarity with AI / ML workflows , including data preprocessing and feature engineering.
- Experience with cloud data platforms like AWS (Glue, Redshift, S3), GCP (BigQuery), or Azure.
- Knowledge of ETL tools, workflow orchestration (e.g., Apache Airflow), and data pipeline automation.
- Exposure to MLOps tools and version control systems (e.g., MLflow, DVC, Git).
- Working knowledge of data warehouse design, data modeling, and performance Responsibilities :
- Design and develop scalable data pipelines using modern data engineering tools and cloud platforms.
- Collaborate with data scientists to prepare, transform, and manage structured / unstructured data for AI / ML models.
- Implement data quality, data lineage, and data governance practices.
- Build and manage data lakes, warehouses, and real-time data systems.
- Work with business and tech stakeholders to understand data needs and deliver impactful data solutions.
- Enable continuous integration / deployment (CI / CD) pipelines for data workflows.
- Monitor system performance, ensure data security, and drive operational efficiency.
(ref : hirist.tech)