Data Engineer

5 days ago

Gurgaon, Haryana, India Insight Enterprises Full time

Job Title: Cloud Data Engineering Technical Lead

About Insight: At Insight, we're a global provider of Digital Innovation, Cloud Data Center Transformation and Supply Chain Optimization solutions and services. We help clients manage their IT today while transforming for tomorrow, recognized for our excellence.

About the Team: Join our Data & AI Division, where we're 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.

Key Responsibilities:

  • 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
  • Coordinates 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.

Requirements:

  • 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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