Azure Data Analyst | Synapse, Cloud Data Platforms, Data Visualization, Data Governance, and SQL

Location: Pune - Hinjewadi (Ascendas)

Time Type: Full time

Job Description

Job Summary
Synechron is seeking an experienced Azure Data Analyst to join our data team. In this role, you will design, implement, and optimize cloud-based data solutions leveraging Azure Synapse Analytics and other cloud data platforms. Your expertise will enable efficient data processing, analytics, and reporting to support strategic decision-making. Collaborating with cross-functional teams, you will ensure the performance, security, and reliability of our cloud data environment, contributing directly to the organization’s digital and data-driven initiatives.

Software Requirements

• Required: Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Storage, Power BI, SQL Server, DataOps tools (e.g., Azure DevOps)

• Preferred: Snowflake, Databricks, Azure Machine Learning, Power Platform (Power Automate, Power Apps)

• Experience level: Proven hands-on experience designing and managing cloud data platforms through Azure Synapse and related tools

Overall Responsibilities

• Design, develop, and maintain cloud infrastructure and data applications within Azure Synapse and associated services

• Collaborate with data scientists, engineers, and business analysts to implement cloud data solutions for enterprise analytics

• Monitor, troubleshoot, and optimize cloud environments for performance, scalability, and cost efficiency

• Create and maintain dashboards, reports, and data visualizations using Power BI and other tools

• Ensure data quality, security, and compliance across cloud platforms through governance and best practices

• Stay current with industry trends, recommending and implementing enhancements to cloud data services

• Provide technical support and consulting to internal teams and clients on cloud data architecture and usage

Technical Skills (By Category)

• Programming Languages:

  • Required: SQL, PowerShell or Bash scripting

  • Preferred: Python, R for advanced data analysis and automation

• Databases/Data Management:

  • Experience with Azure Synapse, Azure Data Lake Storage, Snowflake, and relational databases

• Cloud Technologies:

  • Required: Azure Synapse Analytics, Azure Data Factory, Azure Data Lake, Azure SQL, Power BI

• Frameworks and Libraries:

  • Familiarity with data integration frameworks, Power BI Desktop, and Power Query

• Development Tools & Methodologies:

  • Azure DevOps, Git, Agile/Scrum practices, DataOps principles

• Security Protocols:

  • Understanding of data security, role-based access control, encryption, GDPR/CCPA standards

Experience Requirements

• 6+ years of experience working with cloud-based data platforms in an enterprise environment

• Proven expertise with Azure Synapse Analytics, data integration, and cloud data management

• Experience designing and maintaining data pipelines, data lakes, and analytics dashboards

• Industry experience in finance, banking, fintech, or similar sectors is preferred

• Alternative: Extensive experience with other cloud data platforms (e.g., Snowflake, Databricks) with a focus on Azure tools

Day-to-Day Activities

• Develop and optimize data pipelines, data models, and data storage solutions in Azure cloud

• Design and build dashboards and reports to support business analysis and decision-making

• Monitor data workflows, troubleshoot issues, and implement improvements

• Collaborate with data engineers and business units to interpret requirements and deliver solutions

• Maintain documentation, best practices, and data governance standards

• Conduct performance tuning and capacity planning for cloud data environments

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Data Science, or related field; equivalent industry experience acceptable

• Certifications such as Azure Data Engineer Associate, Azure Data Scientist, or equivalent preferred

• Demonstrated ability to manage large-scale, enterprise-grade data platforms in a cloud environment

• Commitment to continuous learning and professional development in cloud analytics and data engineering

Professional Competencies

• Strong analytical and problem-solving abilities focused on data quality and performance

• Excellent communication skills for technical and non-technical audiences

• Ability to collaborate effectively across teams and influence stakeholders

• Self-motivated with a disciplined approach to project delivery and innovation

• Adaptability to evolving cloud technologies and industry standards

• Focus on delivering reliable, scalable, and secure data solutions aligned with business goals

S​YNECHRON’S DIVERSITY & INCLUSION STATEMENT
 

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

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