Up Lead solution architect data and analytics Jobs – 107 Open Jobs Today

Manager - Azure Data Engineer
EXL Service —Noida, Uttar Pradesh
- Full-time
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Adobe —Noida, Uttar Pradesh
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- Computer Science
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Iris Software —Noida, Uttar Pradesh
- JavaScript
- APIs
- Communication skills
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1d
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EXL Service —Noida, Uttar Pradesh
- Full-time
- Azure
- Computer Science
- Windows
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Axtria, Inc. —Noida, Uttar Pradesh
- Azure
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Flexsin —Noida, Uttar Pradesh
- Azure
- Computer Science
- Master's degree
QA - India ( Immediate Joiners)
CG Infinity —Noida, Uttar Pradesh
- Full-time
- Computer Science
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Azure Database Migration & Cloud Architect
WebSenor —Noida, Uttar Pradesh
- Full-time
- Remote
- Azure
- Computer Science
- DevOps
Quick apply
5d
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Product and Technology —Noida, Uttar Pradesh
- Full-time
- Computer Science
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- Analysis skills
- Health insurance
13d
Agentic/AI lead/architect with Claude/code/LLM skills1
EXL Service —Noida, Uttar Pradesh
- Full-time
- Azure
- Master's degree
- AWS
Forward Deployment Engineer
Axtria, Inc. —Noida, Uttar Pradesh
- Azure
- Master's degree
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Axtria, Inc. —Noida, Uttar Pradesh
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HCLTech —Gautam Budh Nagar, Uttar Pradesh
- Full-time
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HCLTech —Noida, Uttar Pradesh
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Senior Cybersecurity Risk Governance Analyst - 1647
GHX —Noida, Uttar Pradesh
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Architect
BirlaSoft —Noida, Uttar Pradesh
- Microsoft Access
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12d
Java - Lead
Iris Software —Noida, Uttar Pradesh
- Oracle
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1d
Senior Data Engineer – Data Modeling & Oracle Cloud Migration
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Remote
- Azure
- Oracle
- Computer Science
Quick apply
5d
Business Partner – Agentic
JAKSON GROUP —Noida, Uttar Pradesh
- Full-time
- Azure
- Computer Science
- Master's degree
Marketo Consultant
VML/WPP Enterprise Solutions —Noida, Uttar Pradesh
- Azure
- Salesforce
- Java
Quick apply
12h

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Manager - Azure Data Engineer

EXL Service -
Noida, Uttar Pradesh

Apply Now

Job details

Full-time

Qualifications

Jira
CI/CD
Power BI
Data modelling
Cloud infrastructure
Azure
Oracle
Business intelligence
Big data
DevOps
Spark
Microsoft SQL Server
Apache Hive
Tableau
Master's degree
SQL
AWS
Bachelor's degree
Continuous integration
Scrum
Scalability
Agile
Data science
SSIS
Redshift
Data warehouse
SDLC
Hadoop

Full job description

Job Description: Design, develop, test, and deploy data integration processes (batch or real-time) using tools such as Microsoft SSIS, Azure Data Factory, Databricks, Matillion, Airflow, Sqoop, etc.
Create functional & technical documentation – e.g. ETL architecture documentation, unit testing plans and results, data integration specifications, data testing plans, etc.
Provide a consultative approach with business users, asking questions to understand the business need and deriving the data flow, conceptual, logical, and physical data models based on those needs.
Perform data analysis to validate data models and to confirm ability to meet business needs.
May serve as project or DI lead, overseeing multiple consultants from various competencies.
Stays current with emerging and changing technologies to best recommend and implement beneficial technologies and approaches for Data Integration.
Ensures proper execution/creation of methodology, training, templates, resource plans and engagement review processes.
Coach team members to ensure understanding on projects and tasks, providing effective feedback (critical and positive) and promoting growth opportunities when appropriate.
Coordinate and consult with the project manager, client business staff, client technical staff and project developers in data architecture best practices and anything else that is data related at the project or business unit levels.
Architect, design, develop and set direction for enterprise self-service analytic solutions, business intelligence reports, visualizations and best practice standards.
Toolsets include but not limited to: SQL Server Analysis and Reporting Services, Microsoft Power BI, Tableau and Qlik.
Work with report team to identify, design and implement a reporting user experience that is consistent and intuitive across environments, across report methods, defines security and meets usability and scalability best practices

Responsibilities: 10 Years industry implementation experience with data integration tools such as Databricks, Azure Data Factory, etc.
Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure.
Work together with data scientists and analysts to understand the needs for data and create effective data workflows.
Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
Minimum of 5 years of data architecture, data modelling or similar experience.
Bachelor’s degree or equivalent experience, Master’s Degree Preferred.
Strong data warehousing, OLTP systems, data integration and SDLC.
Strong experience in big data frameworks & working experience in Spark or Hadoop or Hive (incl. derivatives like pySpark (prefered), SparkScala or SparkSQL) or Similar, along with experience in libraries / frameworks to accelerate code development.
Experience using major data modelling tools (examples: ERwin, ER/Studio, PowerDesigner, etc.).
Experience with major database platforms (e.g. SQL Server, Oracle, Azure Data Lake, Hadoop, Azure Synapse/SQL Data Warehouse, Snowflake, Redshift etc.).
Strong experience in orchestration & working experience in either Data Factory or HDInsight or Data Pipeline or Cloud composer or Similar.
Understanding and experience with major Data Architecture philosophies (Dimensional, ODS, Data Vault, etc.).
Understanding of modern data warehouse capabilities and technologies such as real-time, cloud, Big Data.
Understanding of on premises and cloud infrastructure architectures (e.g. Azure, AWS, GCP).
Strong experience in Agile Process (Scrum cadences, Roles, deliverables) & working experience in either Azure DevOps, JIRA or Similar with Experience in CI/CD using one or more code management platforms.
3-5 years’ development experience in decision support / business intelligence environments utilizing tools such as SQL Server Analysis and Reporting Services, Microsoft’s Power BI, Tableau, looker etc

Qualifications: Graduate in Computer Science, Data Science, or related field. 4-6 years of experience in data engineering or related field.

Apply Now

Refine Your Search

lead solution architect data and analytics jobs in up

Manager - Azure Data Engineer

Senior Product Manager

.Net Core - Lead

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QA - India ( Immediate Joiners)

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Architect

Java - Lead

Senior Data Engineer – Data Modeling & Oracle Cloud Migration

Business Partner – Agentic

Marketo Consultant

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