1 Opening(s)
4.0 Year(s) To 8.0 Year(s)
Not Disclosed by Recruiter
We are having an urgent opening for a reputed company for the designation of Data Engineer for the Mumbai location.
Responsibilities:
Collect and process data
Maintain existing ETL programs to ingest data from AWS, HDFS, SQL, and MySQL
Implement API from existing sources
Design and adapt ETL tools for new data sources, including streaming data
Develop API for ...
1 Opening(s)
6.0 Year(s) To 8.0 Year(s)
Not Disclosed by Recruiter
Primary Responsibilities:
Data Analysis & Reporting
• Collect, clean, validate, and analyze data from multiple sources including government
systems, APIs, and open datasets.
• Perform exploratory data analysis (EDA) to uncover trends, patterns, and anomalies.
• Support performance monitoring of digital service delivery (e.g., user adoption, grievance
redressal, efficiency metrics).
Visualization & Dashboarding
• Design and develop dynamic, ...
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)
7.0 Year(s) To 15.0 Year(s)
Not Disclosed by Recruiter
We are looking for an ambitious, proactive, and motivated individual with solid exploratory research, digital analytics experience, able to lead day-to-day management of accounts. The Senior Account Manager candidate should be capable of driving analytics design, ideate innovative approaches to derive meaning from unstructured / structured digital data, omnichannel campaign ...
1 Opening(s)
12.0 Year(s) To 15.0 Year(s)
15.00 LPA TO 18.00 LPA
Requirements:
Overall 6+ years of work experience in relevant hands on experience handling data driven decisions
Experience in various statistical and machine learning models, data mining, unstructured data analytics in corporate or academic research environments
Must have strong of programming experience in R/Python
Experience in machine learning techniques and algorithms, such as like-Classification, ...
45 Opening(s)
2.0 Year(s) To 12.0 Year(s)
Not Disclosed by Recruiter
We are hiring for the profile- Data Scientist
Skills
Required Skills:Data Science, Machine Learning, Deep Learning, Python, NLP
Desired Skills: Computer Vision
Roles and responsibilities
Experience in Data Modelling, R, Python, SQL, Data Science, Machine Learning, Deep Learning,NLP, Statistics
Have ability to solve Business problems using Data
Should possess extensive knowledge of and experience in applying data ...
5 Opening(s)
2.0 Year(s) To 5.0 Year(s)
1500000.00 LPA TO 4000000.00 LPA
Experience
2 years to 5 years of experience as Analytics / Business Intelligence / Data Science mandatory
Experience in Recommendation Engine for optimizing time spent on the platform.
Experience with Big Data querying tools, such as Hive, Pig, and Impala
Experience in Spark ML ( Spark Machine Learning)
Age
25 - 36 yrs
Others
Looking for the candidates notice ...
3 Opening(s)
8.0 Year(s) To 10.0 Year(s)
30.00 LPA TO 40.00 LPA
Required SkillsThe ideal candidate willHave the ability to handle structured /unstructured data like Text, Image and have prior experience in loading, validating and cleaning various types of data.Have very good understanding of data structures and algorithms. Have excellent coding skills in one or more of the following languages: Python, Java, ...
1 Opening(s)
5.0 Year(s) To 10.0 Year(s)
12.00 LPA TO 24.00 LPA
Job Title Senior Data Analyst Job Description (in brief) We are looking for a Senior Data Analyst with strong expertise in data processing & building pipelines using SQL, Power BI, Python. In this role, you will own the datasets and dashboards that drive most important decisions across retail,finance and logistics ...
1 Opening(s)
2.0 Year(s) To 12.0 Year(s)
7.00 LPA TO 34.00 LPA
Data Scientist – Banking and Risk Management
Role Summary:
The Data Scientists will design AI/ML models for banking and risk management, driving innovation and enhancing operational efficiencies for financial institutions.
Key Responsibilities:
Develop AI/ML models for credit scoring, fraud detection, and risk assessment in banking.
Analyze large datasets from banking systems to identify risk ...