Azure Data Modeler
1 week ago
Overview:
LTIMindtree Limited is a renowned Indian multinational organization offering top-notch information technology services and consulting expertise. Being a part of Larsen & Toubro, the company has been shaping the IT industry since its establishment in 1996, boasting a workforce of over 90,000 professionals.
About the Job and the Company:
In this thrilling opportunity as an Azure Data Modeler at Mindtree Limited, you'll play a crucial role in crafting, developing, and implementing cutting-edge data models and solutions tailored for the Azure platform. Collaborating closely with multifaceted teams, you'll decipher business requirements to build scalable, efficient data architectures essential for project triumph.
Job Description:
- As an Azure Data Modeler, you will be responsible for designing, developing, and implementing data models and solutions on the Azure platform.
- You will work closely with crossfunctional teams to understand business requirements and translate them into scalable and efficient data architectures.
- Your expertise in ETL, analytics, visualization, and database engineering, particularly within the Azure ecosystem, will be critical to the success of our projects.
Key Responsibilities:
Data Modeling and Architecture:
- Design and develop robust data models and architectures on the Azure platform.
- Define data storage, processing, and integration strategies to meet business needs.
- Ensure data models are scalable, efficient, and optimized for performance.
ETL Development:
- Develop ETL processes to extract, transform, and load data from various sources into Azure data services.
- Implement data cleansing, enrichment, and validation procedures as part of the ETL pipeline.
- Optimize ETL workflows for performance and reliability.
Analytics and Visualization:
- Implement analytical solutions using Azure analytics services such as Azure Synapse Analytics, Azure Databricks, and Power BI.
- Develop interactive dashboards and reports to visualize and communicate insights from data.
- Utilize advanced analytics techniques to derive actionable insights from complex datasets.
Database Engineering:
- Apply strong database engineering principles to design and optimize Azure SQL databases and data warehouses.
- Implement data partitioning, indexing, and compression strategies for optimal performance.
- Ensure data security, integrity, and compliance with regulatory requirements.
SSIS Integration:
- Leverage hands-on experience with SSIS (SQL Server Integration Services) to enhance data integration capabilities.
- Develop SSIS packages for data extraction, transformation, and loading tasks.
- Integrate SSIS solutions with Azure data services for seamless data movement.
Leadership and Decision Making:
- Provide leadership and guidance to junior team members, mentoring them in best practices and methodologies.
- Make informed decisions regarding data architecture, technology selection, and project prioritization.
- Estimate project timelines, resource requirements, and deliverables accurately.
Project Management:
- Manage multiple project tracks simultaneously, ensuring timely delivery and quality outcomes.
- Collaborate with stakeholders to define project scope, objectives, and success criteria.
- Communicate project status, progress, and risks to stakeholders and leadership.
Required Qualifications:
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- 12 to 18 years of experience in data modeling, ETL development, analytics, and visualization.
- Strong knowledge of database concepts, with expertise in Azure or AWS data engineering.
- Hands-on experience with SSIS (SQL Server Integration Services).
- Proven ability to make sound decisions, estimate project efforts, and provide leadership.
- Excellent communication and interpersonal skills, with the ability to work effectively in a team environment.
- Strong analytical and problem-solving skills, with attention to detail.
Location:
Kolkata
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