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Assistant Manager - Data Engineering
full-timeChennai

Summary

Location

Chennai

Type

full-time

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About this role

Job Family:

Data Science & Analysis (India)


Travel Required:

Up to 10%


Clearance Required:

None

What You Will Do:

  • Lead and execute data engineering projects from inception to completion, ensuring timely delivery and high quality.
  • Build and optimize data architectures for operational and analytical purposes.
  • Collaborate with cross-functional teams to gather and define data requirements.
  • Implement data quality, data governance, and data security practices.
  • Manage and optimize cloud-based data platforms (Azure,AWS).
  • Develop and maintain Python/PySpark libraries for data ingestion, Processing and integration with both internal and external data sources.
  • Design and optimize scalable data pipelines using Azure data factory and Spark(Databricks).
  • Work with stakeholders, including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
  • Develop frameworks for data ingestion, transformation, and validation.
  • Mentor junior data engineers and guide best practices in data engineering.
  • Evaluate and integrate new technologies and tools to improve data infrastructure.
  • Ensure compliance with data privacy regulations (HIPAA, etc.).
  • Monitor performance and troubleshoot issues across the data ecosystem.

What You Will Need:

  • Bachelor’s or master's degree in computer science, Information Systems, Statistics, Math, Engineering, or related discipline.
  • Minimum 10 + years of solid hands-on experience in data engineering and cloud services.
  • Experience in leading and mentoring Team members.
  • Good Experience in Azure data factory (ADF), Databricks, Python and PySpark.
  • Good experience in modern data storage concepts data lake, lake house.
  • Experience in other cloud services (AWS) and data processing technologies will be added advantage.
  • Ability to enhance, develop and resolve defects in ETL process using cloud services.
  • Experience handling large volumes (multiple terabytes) of incoming data from clients and 3rd party sources in various formats such as text, csv, EDI X12 files and access database.
  • Experience with one or more programming languages such as Java, .Net in an application development environment is highly preferred.
  • Experience with software development methodologies (Agile, Waterfall) and version control tools.
  • Highly motivated, strong problem solver, self-starter, and fast learner with demonstrated analytic and quantitative skills.
  • Good communication skill.


What Would Be Nice To Have:

  • Experience in different cloud providers.
  • Experience in Programming.
  • Experience in DevOps.


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

About Guidehouse

Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or [email protected].  Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse.  Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact [email protected]. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Other facts

Tech stack
Data Engineering,Cloud Services,Python,PySpark,Azure Data Factory,Databricks,Data Governance,Data Security,ETL Processes,Data Pipelines,Data Quality,Data Architecture,Mentoring,Problem Solving,Agile,Version Control

About Guidehouse

Guidehouse is a global AI-led professional services firm delivering advisory, technology, and managed services to the commercial and government sectors. With an integrated business technology approach, Guidehouse drives efficiency and resilience in the healthcare, financial services, energy, infrastructure, and national security markets. Built to help clients across industries outwit complexity, the firm brings together approximately 18,000 professionals to achieve lasting impact and shape a meaningful future.

Team size: 10,001+ employees
LinkedIn: Visit
Industry: Business Consulting and Services

What you'll do

  • Lead and execute data engineering projects, ensuring timely delivery and high quality. Collaborate with cross-functional teams to gather data requirements and implement data quality and governance practices.

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Frequently Asked Questions

What does a Assistant Manager - Data Engineering do at Guidehouse?

As a Assistant Manager - Data Engineering at Guidehouse, you will: lead and execute data engineering projects, ensuring timely delivery and high quality. Collaborate with cross-functional teams to gather data requirements and implement data quality and governance practices..

Why join Guidehouse as a Assistant Manager - Data Engineering?

Guidehouse is a leading Business Consulting and Services company.

Is the Assistant Manager - Data Engineering position at Guidehouse remote?

The Assistant Manager - Data Engineering position at Guidehouse is based in Chennai, Tamil Nadu, India. Contact the company through Clera for specific work arrangement details.

How do I apply for the Assistant Manager - Data Engineering position at Guidehouse?

You can apply for the Assistant Manager - Data Engineering position at Guidehouse directly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process. You can also learn more about Guidehouse on their website.