Chennai, Tn Python / data science architect Jobs – 160 Open Jobs Today

Lead Data Analyst L1
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UPS —Chennai, Tamil Nadu
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Photon —Chennai, Tamil Nadu
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Lead Data Analyst L1

Wipro Limited -
Chennai, Tamil Nadu

Apply Now

Job details

10 days ago

Qualifications

BCS
CI/CD
Data modeling
Cloud architecture
Computer Science
Google Cloud Platform
SQL
Bachelor's degree
Machine learning
Version control systems
Continuous integration
UML
APIs
ETL
Financial services
AI
Data warehouse
Python
Analytics
Information Technology

Full job description

Job Description

Job Title: Lead Data Analyst L1

City: Bengaluru, Chennai

State/Province: Karnataka, Tamil Nadu

Posting Start Date: 6/2/26

Job Title: GCP Data Architect - Data Pipelines and DataOps

Location: Offshore

Job Responsibilities:

Data Architecture and Design:

Lead the design and development of scalable and efficient data architectures on GCP, with a focus on data pipelines and DataOps principles.
Collaborate with cross-functional teams to understand business requirements and translate them into comprehensive data solutions.
Experience in Data Products principles and designing Data API’s
Data Ingestion considering System of Records, Systems of Engagement and Systems of Insight

Data Pipelines Expertise:

Design, implement, and optimize end-to-end data pipelines, ensuring seamless integration with various data sources and destinations.
Implement data streaming and batch processing solutions to support real-time and batch analytics.

DataOps Implementation:

Establish and maintain robust DataOps processes to streamline the development, deployment, and monitoring of data pipelines.
Implement version control, automated testing, and continuous integration practices for data pipelines.

GCP Data Services Mastery:

Possess advanced knowledge and hands-on experience with GCP data services, including BigQuery, Dataflow, Dataprep, Dataproc, and other relevant tools.
Stay updated on the latest GCP data services offerings and integrate new technologies into data pipeline architectures.

Data Governance and Security:

Implement and enforce data governance policies within the context of DataOps, ensuring data integrity, security, and compliance.
Collaborate with security and compliance teams to address any data security concerns in data pipeline processes.

Collaboration and Leadership:

Collaborate with data engineers, data scientists, and business stakeholders to understand their requirements and align data architectures with organizational goals.
Provide technical leadership and mentorship to junior team members.

Documentation and Best Practices:

Maintain comprehensive documentation for data architectures, data pipeline processes, and configurations.
Define and promote best practices for data pipeline development, deployment, and monitoring within the organization.
Documenting Conceptual, Logical Data Models, data principles, data dictionaries, schema definition and Data API specifications

Qualifications:

Bachelor’s degree in computer science, Information Technology, or a related field.
Minimum of 10 years of hands-on experience with GCP data services, data engineering, and a focus on data pipelines and DataOps.
Proven experience in designing and implementing complex data architectures with a strong emphasis on data pipelines.
Strong proficiency in SQL, Python, or other relevant programming languages.
Excellent understanding of data modelling , ETL processes, and data warehousing.
Experience with version control systems and CI/CD practices for data pipelines.
Strong problem-solving and troubleshooting skills.
Ability to communicate complex technical concepts to non-technical stakeholders effectively.
Google Cloud Professional Data Engineer or Data Architect certification.

Preferred Qualifications:

Experience with machine learning and AI technologies on the GCP platform.
Familiarity with advanced analytics, data lakes, and streaming data architectures.

If you are a result driven GCP Data Architect with a focus on data pipelines and DataOps practices, we invite you to apply for this exciting opportunity.

Job Description:

Job Description

Role Purpose

The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions

͏

Dos

1. Managing the technical scope of the project in line with the requirements at all stages

a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends

b. Develop record management process and policies

c. Build and maintain relationships at all levels within the client base and understand their requirements.

d. Providing sales data, proposals, data insights and account reviews to the client base

e. Identify areas to increase efficiency and automation of processes

f. Set up and maintain automated data processes

g. Identify, evaluate and implement external services and tools to support data validation and cleansing.

h. Produce and track key performance indicators

2. Analyze the data sets and provide adequate information

a. Liaise with internal and external clients to fully understand data content

b. Design and carry out surveys and analyze survey data as per the customer requirement

c. Analyze and interpret complex data sets relating to customerÃ¢ÂÂs business and prepare reports for internal and external audiences using business analytics reporting tools

d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking

e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool

f. Develop predictive models and share insights with the clients as per their requirement

͏

Deilver

No.

Performance Parameter

Measure

Analyses data sets and provide relevant information to the client

No. Of automation done, On-Time Delivery, CSAT score, Zero customer escalation, data accuracy

͏

Job Title: GCP Data Architect - Data Pipelines and DataOps

Location: Offshore

Job Responsibilities:

Data Architecture and Design:

Lead the design and development of scalable and efficient data architectures on GCP, with a focus on data pipelines and DataOps principles.
Collaborate with cross-functional teams to understand business requirements and translate them into comprehensive data solutions.
Experience in Data Products principles and designing Data API’s
Data Ingestion considering System of Records, Systems of Engagement and Systems of Insight

Data Pipelines Expertise:

Design, implement, and optimize end-to-end data pipelines, ensuring seamless integration with various data sources and destinations.
Implement data streaming and batch processing solutions to support real-time and batch analytics.

DataOps Implementation:

Establish and maintain robust DataOps processes to streamline the development, deployment, and monitoring of data pipelines.
Implement version control, automated testing, and continuous integration practices for data pipelines.

GCP Data Services Mastery:

Possess advanced knowledge and hands-on experience with GCP data services, including BigQuery, Dataflow, Dataprep, Dataproc, and other relevant tools.
Stay updated on the latest GCP data services offerings and integrate new technologies into data pipeline architectures.

Data Governance and Security:

Implement and enforce data governance policies within the context of DataOps, ensuring data integrity, security, and compliance.
Collaborate with security and compliance teams to address any data security concerns in data pipeline processes.

Collaboration and Leadership:

Collaborate with data engineers, data scientists, and business stakeholders to understand their requirements and align data architectures with organizational goals.
Provide technical leadership and mentorship to junior team members.

Documentation and Best Practices:

Maintain comprehensive documentation for data architectures, data pipeline processes, and configurations.
Define and promote best practices for data pipeline development, deployment, and monitoring within the organization.
Documenting Conceptual, Logical Data Models, data principles, data dictionaries, schema definition and Data API specifications

Qualifications:

Bachelor’s degree in computer science, Information Technology, or a related field.
Minimum of 10 years of hands-on experience with GCP data services, data engineering, and a focus on data pipelines and DataOps.
Proven experience in designing and implementing complex data architectures with a strong emphasis on data pipelines.
Strong proficiency in SQL, Python, or other relevant programming languages.
Excellent understanding of data modelling , ETL processes, and data warehousing.
Experience with version control systems and CI/CD practices for data pipelines.
Strong problem-solving and troubleshooting skills.
Ability to communicate complex technical concepts to non-technical stakeholders effectively.
Google Cloud Professional Data Engineer or Data Architect certification.

Preferred Qualifications:

Experience with machine learning and AI technologies on the GCP platform.
Familiarity with advanced analytics, data lakes, and streaming data architectures.

If you are a result driven GCP Data Architect with a focus on data pipelines and DataOps practices, we invite you to apply for this exciting opportunity.

Apply Now

Refine Your Search

python / data science architect jobs in chennai, tn

Lead Data Analyst L1

Product Architect

Oracle Database Administration Expert

Senior Data Science Lead (Gen AI/ Agentic AI) - Vice President

Senior Data Developer - Azure Databricks+cosmos DB + SQL + ETL+SSIS

Digital Solution Architect - Power Consulting

Senior Data Scientist, Google Cloud Platform (GCP)

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Solution Architect- GPQSS Digital & Service

India - Senior Data Engineer

Senior Technical Architect

Senior IBM DataStage Developer

Principal Architect - Product and Platform Engineering

EY - GDS Consulting - Mainframe Modernization- GEN AI - Senior

Senior Architect

EY - GDS Consulting - AIA - Mainframe - Manager

Palantir - senior developers - Chennai

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