Associate Solution Architect - Bangalore

Talent Zone Consultants; Bengaluru; On-site; INR 3,250,000 - 3,500,000; Full time

Job summary

A leading IT software company is seeking a Solution Architect with expertise in data engineering. You will design scalable data systems, collaborate with stakeholders, and drive quantitative analysis. An ideal candidate will have 7-10 years of experience and strong proficiency in AWS and data processing technologies.

Qualifications

• Experience in data engineering with 7-10 years in related roles.
• Proficiency with programming languages like Python, R, Java, or Scala.
• Strong knowledge of design and architecture for scalable data models.

Responsibilities

• Collaborate with stakeholders to define architecture and design of data engineering models.
• Design scalable data engineering models and develop data processing logic.
• Evaluate technologies for building and managing data engineering models.

Skills

Solution Architecting

Data Engineering

Design

Programming

AWS

Cloud Architect

Education

B.C.A

B.Sc

B.Tech

Tools

AWS Glue

AWS Batch

AWS Lambda

Job description

Job openings for solution architect in bangalore

Key Responsibilities
Requirement Analysis: Collaborate with stakeholders to understand business
requirements and data sources, and define the architecture and design of data
engineering models to meet these requirements.
Architecture Design: Design scalable, reliable, and efficient data engineering models,
including algorithms, data pipelines, and data processing systems, to support business
requirements and quantitative analysis.
Technology Selection: Evaluate using POCs and recommend appropriate technologies,
frameworks, and tools for building and managing data engineering models, considering
factors like performance, scalability, and cost-effectiveness.
Data Processing: Develop and implement data processing logic, including data cleansing,
transformation, and aggregation, using technologies such as AWS Glue, Batch, Lambda.
Quantitative Analysis: Collaborate with data scientists and analysts to develop algorithms
and models for quantitative analysis, using techniques such as regression analysis,
clustering, and predictive modeling.
Model Evaluation: Evaluate the performance of data engineering models using metrics
and validation techniques, and iterate on models to improve their accuracy and
effectiveness.
Data Visualization: Create visualizations of data and model outputs to communicate
insights and findings to stakeholders.
Data Engineering: Understanding of Data engineering principles and practices, including
data ingestion, processing, transformation, and storage, using tools and technologies
such as AWS Glue, Batch, Lambda.
Quantitative Analysis: Proficiency in quantitative analysis techniques, including statistical
modeling, machine learning, and data mining, with experience in implementing
algorithms for regression analysis, clustering, classification, and predictive modeling.
Programming Languages: Proficiency in programming languages commonly used in data
engineering and quantitative analysis, such as Python, R, Java, or Scala,

Experience 7 - 10 Years

Salary 32 Lac 50 Thousand To 35 Lac P.A.

Industry IT Software - Application Programming / Maintenance

Qualification B.C.A, B.Sc, B.Tech

Key Skills Solution Architecting Data Engineering Design Architect Pipeline Management Data Pipeline Python AWS AWS Cloud Cloud Architect