Technology and Innovation - Azure Data Engineer at Riveron

Pune, Maharashtra, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

4–5 years of experience as a data engineering professional specializing in Azure-based solutions
Proficient in SQL, with expertise in advanced query writing, stored procedures, and performance tuning
Skilled in Python for data manipulation, automation, and integration tasks
Experienced in PySpark for large-scale distributed data processing
Well-versed in data modeling, including relational, dimensional, and big data models
Familiar with version control tools like Git and best practices in collaborative development
Knowledgeable in performance optimization techniques such as indexing, partitioning, and caching
Hands-on experience with Azure Synapse Analytics and Azure SQL Database (preferred)
Familiarity with CI/CD pipelines and DevOps practices in data engineering (preferred)
Experience working in Agile environments and participating in sprint planning and reviews (preferred)
Strong analytical mindset and ability to troubleshoot complex data issues (preferred)

Responsibilities

Design, build, and maintain scalable data pipelines using Azure Data Factory, Azure Databricks, and Azure Data Lake
Develop and optimize data workflows and transformations using SQL, Python, and PySpark
Collaborate with cross-functional teams to understand data requirements and deliver robust solutions
Implement and manage data models across various storage and processing layers
Ensure high performance and reliability of data systems through tuning and optimization
Maintain code quality and version control using Git or equivalent tools
Contribute to continuous improvement initiatives and stay updated with the latest Azure data engineering trends

Skills

Key technologies and capabilities for this role

SQLPythonPySparkGitAzure Data FactoryAzure DatabricksAzure Data LakeAzure Synapse AnalyticsAzure SQL Database

Questions & Answers

Common questions about this position

What experience level is required for the Azure Data Engineer role?

The role requires 4–5 years of experience as a data engineering professional specializing in Azure-based solutions.

What key technical skills are needed for this position?

Proficiency in SQL for advanced query writing and performance tuning, Python for data manipulation and automation, PySpark for large-scale data processing, data modeling, and Azure tools like Data Factory, Databricks, and Data Lake are required.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What is the company culture like at Riveron?

Riveron has an entrepreneurial culture that thrives on collaboration, diverse perspectives, and delivering exceptional outcomes, guided by DELTA values: Drive, Excellence, Leadership, Teamwork, and Accountability, with a commitment to fostering growth, mentorship, integrity, flexibility, and well-being.

Riveron

Consulting firm for performance improvement and advisory

About Riveron

Riveron enhances business performance and explores new opportunities across various industries, including aerospace, healthcare, and technology. They provide tailored advisory services such as tax advisory, financial restructuring, and strategic consulting, acting as an extension of their clients' management teams. Riveron differentiates itself through a hands-on approach and a unified brand strategy that integrates multiple consulting firms, allowing for comprehensive solutions. Their goal is to help businesses navigate complex challenges and achieve strategic objectives.

Dallas, TexasHeadquarters

2006Year Founded

$5.2MTotal Funding

BUYOUTCompany Stage

Consulting, Government & Public Sector, Financial ServicesIndustries

201-500Employees

Benefits

Flexible Work Hours

Professional Development Budget

Hybrid Work Options

Risks

Integration challenges with Yantra may disrupt operations if not managed effectively.

South Florida expansion could strain resources if market growth expectations aren't met.

Technological integration issues with Numeric partnership may impact service delivery.

Differentiation

Riveron combines consulting, public accounting, and industry expertise for tailored business solutions.

The firm partners with private equity, corporations, and lenders for strategic transformations.

Riveron's integration of Conway MacKenzie, Winter Harbor, and GBI Consulting enhances service offerings.

Upsides

Riveron's acquisition of Yantra strengthens technology support for CFOs in tech-enabled sectors.

Expansion into South Florida taps into a fast-growing hub for private equity.

Partnership with Numeric offers AI-driven financial management solutions for improved financial clarity.

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