How much salary can I expect as a Principal Data Engineer in CES in undefined?

You can expect a minimum salary of 0 INR. The salary offered will depend on your skills, experience and performance in the interview.

What is the eligibility criteria to apply for Principal Data Engineer in CES in undefined?

The candidate should have completed undefined degree and people who have 4 to 31 years are eligible to apply for this job. You can apply for more jobs in undefined to get hired quickly.

Is there any specific skill required for this job?

The candidate should have undefined skills and sound communication skills for this job.

Who can apply for this job?

Both Male and Female candidates can apply for this job.

Is it a work from home job?

No, it’s not a work from home job and can’t be done online. You can explore and apply for other work from home jobs in undefined at apna.

Are there any charges or deposits required while applying for the role or while joining?

No work-related deposit needs to be made during your employment with the company.

How can I apply for this job?

Go to the apna app and apply for this job. Click on the apply button and call HR directly to schedule your interview.

What is the last date to apply?

The last date to apply for this job is . For more details, download apna app and find Full Time jobs in undefined . Through apna, you can find jobs in 74 cities across India. Join NOW

Principal Data Engineer

CES

Chennai

Not disclosed

Work from Office

Full Time

Min. 4 years

Job Details

Job Description

Principal Data Engineer #3021

CES has 26+ years of experience in delivering Software Product Development, Quality Engineering, and Digital Transformation Consulting Services to Global SMEs & Large Enterprises. CES has been delivering services to some of the leading Fortune 500 Companies including Automotive, AgTech, Bio Science, EdTech, FinTech, Manufacturing, Online Retailers, and Investment Banks. These are long-term relationships of more than 10 years and are nurtured by not only our commitment to timely delivery of quality services but also due to our investments and innovations in their technology roadmap. As an organization, we are in an exponential growth phase with a consistent focus on continuous improvement, process-oriented culture, and a true partnership mindset with our customers. We are looking for the right qualified and committed individuals to play an exceptional role as well as to support our accelerated growth. You can learn more about us at: http://www.cesltd.com/
Key Responsibilities
Snowflake Development
Configure and manage Snowflake accounts, roles, virtual warehouses, and secure data storage.
Design and optimize schemas, tables, and views for efficient querying and analytics.
Implement ingestion pipelines using Snowpipe, ETL/ELT tools, or custom scripts for diverse data sources.
Monitor compute and storage costs and implement cost optimization strategies.
dbt (Data Build Tool)
Develop modular SQL transformations using dbt for data modeling and analytics.
Implement data quality checks and testing frameworks within dbt.
Manage dbt deployments, version control, and CI/CD integration.
Apache Airflow
Design and orchestrate workflows using Airflow DAGs for ETL and data processing tasks.
Implement error handling, logging, and alerting mechanisms for Airflow jobs.
Integrate Airflow with authentication systems (e.g., Okta) and other tools like ADF or Ataccama for data governance.
BI and Conversational AI Integration
Integrate Microsoft Copilot and/or Snowflake Cortex into BI workflows to enable natural language queries and AI-driven insights.
Develop and maintain AI-powered dashboards and reporting solutions that support dynamic, conversational interactions.
Data Quality & Governance
Apply data validation rules and ensure compliance with enterprise standards.
Collaborate with data governance teams to enforce naming conventions and security policies.
Collaboration & Documentation
Work closely with data analysts, business stakeholders, and engineering teams to deliver reliable data solutions.
Document architecture, workflows, and operational procedures.
Required Skills
Minimum of 4 years professional experience working as a Data Engineer, Data Architect, or similar role for Financial Services firm(s) (buy-side preferably)
Strong proficiency in Snowflake (data warehousing concepts, performance tuning, security).
Hands-on experience with dbt for data transformation and testing.
Expertise in Apache Airflow for workflow orchestration.
Knowledge of cloud data ecosystems (Azure, Snowflake) and integration with Microsoft Copilot, Cortex, or similar conversational AI platforms.
Strong proficiency in Power BI, DAX, and semantic modeling.
Solid understanding of SQL, Python, and CI/CD (GITLAB) practices.
Familiarity with cloud platforms (Azure preferred) and data integration tools.
Knowledge of data governance and quality frameworks.
Preferred Qualifications
Experience with Azure Data Factory, Ataccama, or similar tools.
Exposure to Private Credit projects leveraging Geneva portfolio management platform.
Experience with AI-driven reporting and Copilot Studio for building custom agents.
Understanding of Microsoft Fabric and interoperability with Snowflake for unified analytics.
Strong problem-solving and communication skills.
Why CES :
Flexible working hours to create a work-life balance.
Opportunity to work on advanced tools and technologies.
Global exposure to not only collaborate with the team, but also to connect with the client portfolio and build professional relationships.
Highly encouraged for any innovative ideas & thoughts and we support in executing the same.
Periodical and on-spot rewards and recognitions on your performance.
Provides a better platform for enhancing skills via many different L&D programs.
Enabling and empowering atmosphere to work along.