Data Engineer / Data Scientist

Akaasa Infotech Noida; Pune District; On-site; INR 2,400,000 - 4,200,000; Full time

Job summary

Data Engineer / Data Scientist role based in Pune, onsite, requiring 8+ years of experience in data engineering, data science, and related domains. The candidate should have hands-on SQL, Python, and distributed data systems, with strong knowledge of ML techniques and statistics.

Experience with cloud data platforms (Azure Data Factory, AWS Glue, GCP BigQuery), DevOps for data pipelines, and data orchestration tools (Airflow, ADF, Glue) is preferred. Immediate to 30 days notice.

Qualifications

• 8-12 years of experience in data engineering, data science, or related domains.
• Hands-on experience with SQL, Python, and distributed data systems.
• Knowledge of machine learning techniques and statistical analysis.
• Experience with cloud data platforms (Azure Data Factory, AWS Glue, GCP BigQuery).
• Familiarity with DevOps practices and CI/CD for data pipelines.

Skills

Data Science

Python

Machine Learning

AWS

AZURE

SPARK

SQL

Distributed data systems

Education

Bachelors or Masters in CS/DS/Engineering

Tools

Azure Data Factory

AWS Glue

GCP BigQuery

Airflow

ADF

Glue

Kubernetes

Docker

Snowflake/Redshift/BigQuery

Job description

Role: Data Engineer / Data Scientist

Experience: 8+ Years

Location: Pune (Onsite) Need Local Candidate

Notice period: Immediate to 30 days

Must-Haves :

Data Science, Python, Machine Learning, AWS, AZURE, SPARK - Bachelors or Masters degree in Computer Science, Data Science, Engineering, or related field.

• 8-12 years of experience in data engineering, data science, or related domains.
• Hands-on experience with SQL, Python, and distributed data systems.
• Knowledge of machine learning techniques and statistical analysis.
• Experience with cloud data platforms (Azure Data Factory, AWS Glue, GCP BigQuery).
• Familiarity with DevOps practices and CI/CD for data pipelines.

Platforms & Operations Experience (Preferred)

• Experience working with Azure, AWS, or Google Cloud data tools.
• Operational experience with data orchestration tools (Airflow, ADF, Glue).
• Understanding of Kubernetes, Docker, or containerized environments.
• Hands-on experience with data warehousing platforms (Snowflake, Redshift, BigQuery).
• Experience in monitoring, logging, and alerting operations for data workflows