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Career Opportunities: Technical Lead (43116)

8.00 to 10.00 Years   Mexico (Mexico)   22 Apr, 2025
Job LocationMexico (Mexico)
EducationMCA/ PGDCA, ME/ M.Tech./ MS (Engg/ Sciences)BE/ B.Tech (Engineering)
SalaryAs per Industry Standards
IndustrySoftware Services, Internet/Dot com/ISP
Functional AreaIT Software : Software Products & Services
EmploymentTypeFull-time

Job Description

Company OverviewIncedo is a US-based consulting, data science, and technology services firm with over 3000 people helping clients from our six offices across the US, Mexico, and India. We help our clients achieve competitive advantage through end-to-end digital transformation. Our uniqueness lies in bringing together strong engineering, data science, and design capabilities coupled with deep domain understanding. We combine services and products to maximize business impact for our clients in telecom, Banking, Wealth Management, product engineering, and life science & healthcare industries.Working at Incedo will provide you an opportunity to work with industry-leading client organizations, deep technology and domain experts, and global teams. Incedo University, our learning platform, provides ample learning opportunities starting with a structured onboarding program and carrying throughout various stages of your career. A variety of fun activities is also an integral part of our friendly work environment. Our flexible career paths allow you to grow into a program manager, a technical architect, or a domain expert based on your skills and interests.Our Mission is to enable our clients to maximize business impact from technology by:

  • Harnessing the transformational impact of emerging technologies
  • Bridging the gap between business and technology
Role DescriptionAs a Senior Technical Lead - Cloud Data Platform (Azure) at Incedo, you will be responsible for managing and optimizing the Microsoft Azure environment, ensuring its performance, scalability, and security. You will work closely with data analysts and data scientists to develop data pipelines and run data science experiments. You will be skilled in cloud computing platforms such as AWS or GCP and have experience with data warehousing technologies such as Azure Synapse Analytics. You will be responsible for configuring and optimizing the Azure environment, ensuring that data pipelines are efficient and accurate, and troubleshooting any issues that arise. You will also work with the security team to ensure that the Azure environment is secure and complies with relevant regulations.Roles & Responsibilities:
  • Designing, developing, and deploying cloud-based data platforms using Microsoft Azure
  • Integrating and processing large amounts of structured and unstructured data from various sources
  • Implementing and optimizing ETL processes and data pipelines
  • Developing and maintaining security and access controls
  • Collaborating with other teams to ensure the consistency and integrity of data
  • Troubleshooting and resolving data platform issues
  • Foster a collaborative and supportive work environment, promoting open communication and teamwork
  • Demonstrate strong leadership skills, with the ability to inspire and motivate team members to perform at their best
Technical SkillsSkills Requirements:
  • Expertise in Azure services and tools such as Azure Data Factory, Azure Databricks, and Azure Synapse Analytics
  • Experience in building scalable and reliable data pipelines using Azure services, Apache Spark, and related big data technologies
  • Familiarity with cloud-based infrastructure and deployment, specifically on Azure
  • Strong knowledge of programming languages such as Python, C#, and SQL
  • Lead and manage a team of professionals to achieve organizational goals
  • Provide guidance, support, and mentorship to help employees grow and develop professionally and focus on Career Management.
Nice-to-have skillsQualifications
  • 8-10 years of work experience in the relevant field
  • B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred
Company ValueWe value diversity at Incedo. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Keyskills :
azure data factory data pipeline development programming in pythoncloud infrastructure management etl process optimization data warehousing sql security apache program manager telecom cloud computing technical skillsbig data c# microsoft az

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