SEIZE THE OPPORTUNITY TO BE A PART OF SOMETHING GREAT!
Presidio is on the leading edge of a technology-driven movement to transform the way business is done, for our customers and our customers' customers. Joining Presidio means immersing yourself in a culture of self-starters, collaborators and innovators who make real, lasting change in the marketplace via cutting-edge technology and business solutions. At Presidio, we know that it’s our people that make the connections happen.
WHY YOU SHOULD JOIN US? You will set your career on track for outstanding achievement with a company that knows no limits. Presidio is a leading a global digital services and solutions provider focused on Digital Infrastructure, Business Analytics, Cloud, Security & Emerging solutions.
THE ROLE: Lead Engineer - Data
Years of Experience – 7 years and above
Location – Chennai, Coimbatore, Bangalore & Hyderabad
Description
As an Azure Lead Data Engineer, your main responsibility is to design, develop, and oversee data systems on the Microsoft Azure cloud platform. You will lead a team of data engineers and collaborate with other teams to ensure the reliability and scalability of our data systems.
If you thrive on the challenges posed by big data, then this role is perfect for you. We are seeking Data Engineers who can handle a high volume of events daily, manage petabyte-scale data on Azure SQL, Azure Synapse Analytics and Azure Data Lake, and create data pipelines using technologies such as ADF, Synapse Pipeline, Synapse notebook (PySpark/SparkSQL) and SQL
We are looking for talented, enthusiastic, and detail-oriented individuals with a background in Data Engineering, Data Science, Business Intelligence, or Software Development. You should be adept at tackling big data challenges in an agile manner. Your responsibilities will include designing and analysing big data, data modelling, and developing, deploying, and managing big data pipelines. Additionally, you will assist in recruiting, mentoring, and developing colleagues in the Data Analytics team, including Data Scientists, Data Engineers, and Software Engineers. Your role will involve collaborating with Coda to construct data pipelines and datasets, as well as expanding self-service data knowledge.
This position requires you to operate at the intersection of data and engineering. You should have a deep understanding of data, analytical techniques, and how to apply insights to drive business outcomes. Practical experience in maintaining the highest operational standards for ETL and big data pipelines is essential.
We primarily work with Azure technologies such as Azure SQL, Azure Data Factory, Azure Synapse, Azure Dedicated SQL Pool, Azure Data Lake, Azure Databricks, PySpark, SparkSQL, Azure Analysis Services, SSIS, PowerBI, and Data Modelling. In this role, you will build our data portfolio and collaborate with Product, Marketing, BI, and ML teams to create new behavioural events, pipelines, datasets, models, and reports to support their initiatives. You will also enhance our offline analytics capabilities in Tableau and expand our real-time dashboarding capabilities
Basic Qualifications
- Designing and implementing large-scale data processing systems on Azure, including data ingestion, storage, processing, and visualization.
- Developing data integration and migration strategies to move data from legacy systems to Azure.
- Building data pipelines and ETL workflows using Azure Data Factory, Azure Databricks, or other relevant tools.
- Designing and implementing data models, data warehouses, and data lakes using Azure Synapse Analytics, Azure SQL Data Warehouse, or other relevant tools.
- Working with data scientists and analysts to understand their data requirements and ensure that the data infrastructure supports their needs.
- Monitoring and troubleshooting the performance and availability of the data systems and implementing strategies to improve their reliability and scalability.
- Managing security and access controls for the data systems, including managing roles and permissions, implementing encryption, and complying with regulatory requirements.
- Mentoring and guiding junior data engineers and providing technical leadership to the team.
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ABOUT PRESIDIO
Presidio is committed to Diversity, Equity, and Inclusion at the highest levels and has strengthened its drive to build and drive systemic DEI change process across all levels of the organization. Cultivating a culture of inclusion where the expression of all our differences are valued, celebrated, and add to our collective achievements.
Presidio is a global digital services and solutions provider accelerating business transformation through secured technology modernization. Highly skilled teams of engineers and solutions architects with deep expertise across cloud, security, networking and modern data center infrastructure help customers acquire, deploy and operate technology that delivers impactful business outcomes. Presidio is a trusted strategic advisor with a flexible full life cycle model of professional, managed, and support and staffing services to help execute, secure, operationalize and maintain technology solutions. We serve as an extension of our clients' IT teams, providing deep expertise and letting them focus on their core business. Presidio operates in 40+ US offices and offices in Ireland, London, Singapore, and India.
For more information visit: http://presidio.com
Skills Required
- 7+ years of relevant experience in data engineering or related fields
- Designing and implementing large-scale data processing systems on Azure (ingestion, storage, processing, visualization)
- Building data pipelines and ETL workflows using Azure Data Factory, Azure Databricks, Synapse Pipelines or similar tools
- Experience with PySpark, SparkSQL and SQL for large-scale data processing
- Designing and implementing data models, data warehouses, and data lakes using Azure Synapse Analytics / Azure SQL Data Warehouse / Azure Dedicated SQL Pool
- Managing petabyte-scale data on Azure SQL, Azure Synapse, and Azure Data Lake
- Monitoring, troubleshooting, and improving performance and availability of data systems
- Managing security and access controls, roles/permissions, encryption, and regulatory compliance for data systems
- Mentoring and providing technical leadership to junior data engineers and cross-functional teams
- Working with data scientists and analysts to support their data requirements and analytics needs
Presidio Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Presidio and has not been reviewed or approved by Presidio.
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Strong & Reliable Incentives — Variable compensation in sales and adjacent roles can materially lift total earnings when targets are met. On‑target earnings are portrayed as attractive for roles like account executives and sales engineers, with notable upside for top performers.
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Leave & Time Off Breadth — Flexible or "unlimited" PTO is available in many groups. Remote and hybrid flexibility further broaden schedule control.
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Inclusive Benefits Coverage — The package includes adoption assistance, parental leave, fertility benefits, ERGs, commuter benefits, tuition assistance, and paid training. These offerings complement core medical, dental, vision, life/disability, and 401(k) coverage.
Presidio Insights
What We Do
Presidio is a leading global digital systems integrator developing innovative technology solutions to help clients digitally transform their business. We specialize in simplifying IT by modernizing data, applications and infrastructure. Our full lifecycle model of professional and managed services power resilient cloud, security, infrastructure modernization and workforce transformation solutions for 7,000 middle market, enterprise and government clients. With an industry-leading 3:1 ratio of engineers to salespeople, we are uniquely positioned to develop and manage world-class business solutions at consumer speed. Partnering with Presidio allows organizations to capture new digital revenue streams while focusing on their core business. We handle the technical complexity and match spend to business value through flexible payment and consumption solutions.
