Cloud Technical Lead

1 month ago


Gurgaon, Haryana, India Insight Enterprises Full time

About Insight

Insight Enterprises is a global provider of Digital Innovation, Cloud Data Center Transformation, and Supply Chain Optimization solutions and services. We help clients successfully manage their IT today while transforming for tomorrow, recognized for our excellence.

About the Team

The Data & AI Division is the driving force behind empowering businesses to unlock the full potential of their data. Our mission is to harness the power of data through scalable solutions and repeatable processes, revolutionizing decision-making and problem-solving across industries.

What We Do:

Dynamic Data Insights: Delve into the realm of data analytics and gain invaluable insights that fuel informed decision-making, empowering businesses to tackle challenges faster and more effectively.

Cutting-Edge Platforms: Step into the forefront of innovation with our modern data platforms, cloud solutions, and infrastructure, laying the groundwork for unleashing untapped business potential and maximizing ROI.

AI-Powered Advancements: Embrace the future with predictive analytics and AI-driven trend forecasting, equipping organizations to seize new opportunities and gain a competitive edge in today's fast-paced markets.

Automation Revolution: Lead the charge in automation solutions, revolutionizing workflows and boosting productivity, enabling teams to concentrate on high-value tasks and propel business growth.

Optimization Expertise: Harness our advanced analytics capabilities to optimize processes and elevate performance, ensuring steadfast operations and continual improvement.

Comprehensive Business Intelligence: Provide comprehensive views of data through our business intelligence solutions, empowering organizations to address critical questions and navigate a path toward future success.

Generative AI Innovation: Explore the realm of generative AI and redefine efficiency gains within enterprises, with support at every stage of the journey from identifying use cases to developing solutions and establishing management strategies.

What You'll Do at Insight

Build and maintain data pipelines to enable faster, better, data-informed decision-making through customer enterprise business analytics

Collaborate with stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality

Design, develop, and maintain large-scale data solutions on Azure cloud platform

Implement ETL pipelines using Azure Data Factory, Azure Databricks, and other related services

Develop and deploy data models and data warehousing solutions using Azure Synapse Analytics, Azure SQL Database

Optimize performing, robust, and resilient data storage solutions using Azure Blob Storage, Azure Data Lake, Snowflake, and other related services

Develop and implement data security policies to ensure compliance with industry standards

Provide support for data-related issues and mentor junior data engineers in the team

Define and manage data governance policies to ensure data quality and compliance with industry standards

Collaborate with data architects, data scientists, developers, and business stakeholders to design data solutions that meet business requirements

Coordinate with users to understand data needs and delivery of data with a focus on data quality, data reuse, consistency, security, and regulatory compliance

Conceptualize and visualize data frameworks

What You'll Need to Join Insight

Bachelor's degree in computer science, information technology, or related field

8+ years of experience in data engineering with 3+ years hands-on Databricks (DB) experience

Strong expertise in Microsoft Azure cloud platform and services, particularly Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure SQL Database

Extensive experience working with large data sets with hands-on technology skills to design and build robust data architecture

Extensive experience in data modeling and database design

Strong programming skills in SQL, Python, and Pyspark

Experience in Unity catalog & DBT and data governance knowledge

Good to have experience in Snowflake utilities such as SnowSQL, SnowPipe, Tasks, Streams, Time travel, Optimizer, Metadata Manager, data sharing, and stored procedures

Agile development environment experience applying DEVOPS along with data quality and governance principles

Good leadership skills to guide and mentor the work of less experienced personnel

Ability to contribute to continual improvement by suggesting improvements to architecture or new technologies and mentoring junior employees and being ready to shoulder ad-hoc

Experience with cross-team collaboration, interpersonal skills/relationship building

Ability to effectively communicate through presentation, interpersonal, verbal, and written skills



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