4+ Data Visualization Jobs in Ahmedabad | Data Visualization Job openings in Ahmedabad

Data Analytics Lead

Responsibilities:

·        Oversee the design, development, and implementation of data analysis solutions to meet business needs.

·        Work closely with business stakeholders and the Aviation SME to define data requirements, project scope, and deliverables.

·        Drive the design and development of analytics data models and data warehouse designs.

·        Develop and maintain data quality standards and procedures.

·        Manage and prioritize data analysis projects, ensuring timely completion.

·        Identify opportunities to improve data analysis processes and tools.

·        Collaborate with Data Engineers and Data Architects to ensure data solutions align with the overall data platform architecture.

·        Evaluate and recommend new data analysis tools and technologies.

·        Contribute to the development of best practices for data analysis.

·        Participate in project meetings and provide input on data-related issues, risks and requirements.

Qualifications

·        8+ years of experience as a Data Analytics Lead, with experience leading or mentoring a team.

·        Extensive experience with cloud-based data modelling and data warehousing solutions, using Azure Data Bricks.

·        Proven experience in data technologies and platforms, ETL processes and tools, preferably using Azure Data Factory, Azure Databricks (Spark), Delta Lake.

·        Advanced proficiency in data visualization tools such as Power BI.

Data Analysis and Visualization:

• Experience in data analysis, statistical modelling, and machine learning techniques.
• Proficiency in analytical tools like Python, R, and libraries such as Pandas, NumPy for data analysis and modelling.
• Strong expertise in Power BI, Superset, Tablue for data visualization, data modelling, and DAX queries, with knowledge of best practices.
• Experience in implementing Row-Level Security in Power BI.
• Ability to work with medium-complex data models and quickly understand application data design and processes.
• Familiar with industry best practices for Power BI and experienced in performance optimization of existing implementations.
• Understanding of machine learning algorithms, including supervised, unsupervised, and deep learning techniques.

Data Handling and Processing:

• Proficient in SQL Server and query optimization.
• Expertise in application data design and process management.
• Extensive knowledge of data modelling.
• Hands-on experience with Azure Data Factory,Azure Databricks.
• Expertise in data warehouse development, including experience with SSIS (SQL Server Integration Services) and SSAS (SQL Server Analysis Services).
• Proficiency in ETL processes (data extraction, transformation, and loading), including data cleaning and normalization.
• Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) for large-scale data processing.

Understanding of data governance, compliance, and security measures within Azure environments.

Data Architecture and Engineering Lead

Responsibilities:

• Lead Data Architecture: Own the design, evolution, and delivery of enterprise data architecture across cloud and hybrid environments. Develop relational and analytical data models (conceptual, logical, and physical) to support business needs and ensure data integrity.
• Consolidate Core Systems: Unify data sources across airport systems into a single analytical platform optimised for business value.
• Build Scalable Infrastructure: Architect cloud-native solutions that support both batch and streaming data workflows using tools like Databricks, Kafka, etc.
• Implement Governance Frameworks: Define and enforce enterprise-wide data standards for access control, privacy, quality, security, and lineage.
• Enable Metadata & Cataloguing: Deploy metadata management and cataloguing tools to enhance data discoverability and self-service analytics.
• Operationalise AI/ML Pipelines: Lead data architecture that supports AI/ML initiatives, including forecasting, pricing models, and personalisation.
• Partner Across Functions: Translate business needs into data architecture solutions by collaborating with leaders in Operations, Finance, HR, Legal, Technology.
• Optimize Cloud Cost & Performance: Roll out compute and storage systems that balance cost efficiency, performance, and observability across platforms.

Qualifications:

• 12+ years of experience in data architecture, with 3+ years in a senior or leadership role across cloud or hybrid environments
• Proven ability to design and scale large data platforms supporting analytics, real-time reporting, and AI/ML use cases
• Hands-on expertise with ingestion, transformation, and orchestration pipelines
• Extensive experience with Microsoft Azure data services, including Azure Data Lake Storage, Azure Databricks, Azure Data Factory and related technologies.
• Strong knowledge of ERP data models, especially SAP and MS Dynamics
• Experience with data governance, compliance (GDPR/CCPA), metadata cataloguing, and security practices
• Familiarity with distributed systems and streaming frameworks like Spark or Flink
• Strong stakeholder management and communication skills, with the ability to influence both technical and business teams

Tools & Technologies

• Warehousing: Azure Databricks Delta, BigQuery
• Big Data: Apache Spark
• Cloud Platforms: Azure (ADLS, AKS, EventHub, ServiceBus)
• Streaming: Kafka, Pub/Sub
• RDBMS: PostgreSQL, MS SQL
• NoSQL: Redis
• Monitoring: Azure Monitoring, App Insight, Prometheus, Grafana

Job Summary:

Position : Senior Power BI Developer

Experience : 4+Years

Location : Ahmedabad - WFO

Key Responsibilities:

• Design, develop, and maintain interactive and user-friendly Power BI dashboards and
• reports.
• Translate business requirements into functional and technical specifications.
• Perform data modeling, DAX calculations, and Power Query transformations.
• Integrate data from multiple sources including SQL Server, Excel, SharePoint, and APIs.
• Optimize Power BI datasets, reports, and dashboards for performance and usability.
• Collaborate with business analysts, data engineers, and stakeholders to ensure data accuracy
• and relevance.
• Ensure security and governance best practices in Power BI workspaces and datasets.
• Provide ongoing support and troubleshooting for existing Power BI solutions.
• Stay updated with Power BI updates, best practices, and industry trends.

Required Skills & Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, Data Analytics, or a
• related field.
• 4+ years of professional experience in data analytics or business intelligence.
• 3+ years of hands-on experience with Power BI (Power BI Desktop, Power BI Service).
• Strong expertise in DAX, Power Query (M Language), and data modeling (star/snowflake schema).
• Proficiency in writing complex SQL queries and optimizing them for performance.
• Experience in working with large and complex datasets.
• Experience in BigQuery, MySql, Looker Studio is a plus.
• Ecommerce Industry Experience will be an added advantage.
• Solid understanding of data warehousing concepts and ETL processes.
• Experience with version control tools such as Power Apps & Power Automate would be a plus.

Preferred Qualifications:

• Microsoft Power BI Certification (PL-300 or equivalent is a plus). Experience with Azure Data Services (Azure Data Factory, Azure SQL, Synapse).
• Knowledge of other BI tools (Tableau, Qlik) is a plus.
• Familiarity with scripting languages (Python, R) for data analysis is a bonus.
• Experience integrating Power BI into web portals using Power BI Embedded.

• Extensive exposure to at least one Business Intelligence Platform (if possible, QlikView/Qlik Sense) – if not Qlik, ETL tool knowledge, ex- Informatica/Talend
• At least 1 Data Query language – SQL/Python
• Experience in creating breakthrough visualizations
• Understanding of RDMS, Data Architecture/Schemas, Data Integrations, Data Models and Data Flows is a must