2 Opening(s)
6.0 Year(s) To 9.0 Year(s)
Not Disclosed by Recruiter
Job description:
"Data engineering development & testing with experience in Py-Spark and SQL”.
Experienced big data developer with hands on Py-Spark & Hadoop/HDFS development skills. Ideal candidate would be a big data engineer passionate about data, data modelling, data enrichment for deriving deep insights accessible via Visualization dashboards or third party tools.
Must ...
4 Opening(s)
6.0 Year(s) To 16.0 Year(s)
25.00 LPA TO 40.00 LPA
Job Description:
We are seeking an experienced Azure Data Engineer to join our team. The ideal candidate will have a strong background in designing, developing, and managing ETL processes and data pipelines on the Microsoft Azure platform. Proficiency in Azure Data Factory (ADF), PySpark, and CI/CD pipelines is essential. The role ...
1 Opening(s)
5.0 Year(s) To 8.0 Year(s)
Not Disclosed by Recruiter
- Data Engineer (PySpark):• 5+ years of experience in Data Analytics role with at least 2 years of development experience in PySpark• Very strong in SQL• Expertise in programming with Python with experience in Data Cleaning, Feature Engineering, Transformation and building statistical/ML models.• Experience working on Unix based platforms with ...
2 Opening(s)
4.0 Year(s) To 7.0 Year(s)
Not Disclosed by Recruiter
SKILL TITLEData Scientist
KEY SKILLS ( MANDATORY)Machine Learning, Data Science, Scikit - learn , Python, tensor flow, pyspark . Hands on exp mandatory on python and tensor flow as mandatory
JOB DESCRIPTION (DETAILED)Machine Learning, Data Science, Scikit - learn , Python, tensor flow, pyspark . Hands on exp mandatory on python and ...
2 Opening(s)
5.0 Year(s) To 10.0 Year(s)
0.00 LPA TO 50.00 LPA
Key Responsibilities
Design, construct, install, test, and maintain highly scalable and robust data management systems.
Understand and apply data warehousing concepts to design and implement robust data warehouse tables in line with business requirements.
Build complex ETL/ELT processes for large-scale data migration and transformation across platforms and Enterprise systems such as: Oracle ERP, ...
1 Opening(s)
5.0 Year(s) To 10.0 Year(s)
0.00 LPA TO 15.00 LPA
Qualification
Bachelor?s degree in Computer Science, Data Science,Mathematics, or related technical field.
Master/ PhD degree in Computer Science, Software Engineering, Mathematics, or related field.
Responsibilities
Develop, maintain, and optimize forecasting Machine Learning (ML) models for better accuracy.
Collaborate with other data scientists and data engineers to ensure that specifications are translated into flexible, scalable, and ...
5 Opening(s)
3.0 Year(s) To 7.0 Year(s)
Not Disclosed by Recruiter
Data Engineer
Job Description: - Having experience in Analysis, Design, Development, Testing, Customisation, Bug fixes, Enhancement, Support and Implementation using Python, spark programming. - Worked on AWS environments such as lambda, server-less applications, EMR, Athena, Glue, IAM policies, roles, S3,CFT and Ec2. - Developed Python and Pyspark programs for data analysis. ...
6 Opening(s)
3.5 Year(s) To 5.4 Year(s)
12.00 LPA TO 16.00 LPA
Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. ...
1 Opening(s)
5.0 Year(s) To 10.0 Year(s)
8.00 LPA TO 12.00 LPA
Role: Azure Data Engineer
Work Mode: Onsite/Full-time
Location: Sholinganallur - Chennai
Year of Experience: 5 - 10 Years
No of Positions: 1
Notice Period: Immediate
Budget: 8 - 12 LPA
Good To Have Skills: Good Communication
Must Have Skills: Databricks (Strong), Azure Data Engineering, PySpark, Python, SQL
External Description:
Azure Data Engineering + Databricks (Strong) + Python + SQL
1 Opening(s)
3.0 Year(s) To 5.0 Year(s)
18.00 LPA TO 24.00 LPA
About the Role :
We are looking for a hands-on Full Stack Data Scientist who can independently manage the
entire machine learning lifecycle—from data wrangling to deployment—without relying on a
dedicated data engineering team. This role is ideal for someone who thrives in a fast-paced, self-
directed environment and is passionate about building real-world ML solutions that drive
business outcomes.
Key Responsibilities :
∙Own the full ML pipeline: data ingestion, cleaning, feature engineering, model
development, deployment, and monitoring.
∙Build and fine-tune models using Python and frameworks like Scikit-learn, XGBoost,
TensorFlow, or PyTorch.
∙Deploy models using Databricks, MLflow, and cloud-native tools (preferably Azure).
∙Develop robust, scalable pipelines using PySpark or native Databricks workflows.
∙Collaborate with BI analysts and business stakeholders to translate requirements into
production-ready solutions.
∙Maintain and improve existing models and pipelines with minimal supervision.
Required Skills :
∙3+ years of experience in applied data science or ML engineering.
∙Strong Python programming skills, including experience with data manipulation and ML libraries.
∙Experience with Databricks and cloud-based ML deployment (Azure preferred).
∙Ability to work independently across the full stack of ML development and deployment.
∙Familiarity with version control (Git), CI/CD, and MLOps best practices.
∙Excellent communication skills and ability to work with remote teams across time zones.
Nice to Have
∙Experience with data pipeline development using PySpark or Delta Lake.
∙Exposure to Docker, REST APIs, or real-time inference.
∙Prior experience working in a manufacturing or industrial analytics environment.
Interview Process:
Shortlisted candidates will be required to complete:
∙An online technical skills assessment focused on Python and applied machine learning.
∙An in-person practical test at our Ahmedabad Tech Center to evaluate real-world
problem-solving and deployment capabilities.
Hours: 2:30 PM – 11:30 PM IST (working from Office)
Reports to: Manager, Data Analytics California, USA