EY - GDS Consulting - AI And DATA - Data Engineer- DBT+BQ+Airflow - Senior

EY; Hyderabad; In loco; INR 1.800.000 - 3.200.000; Tempo pieno

Vantaggi offerti da questo lavoro

Flexible work hours

Global project exposure

Coaching and mentorship

Diversity in teams

Descrizione del lavoro

EY GDS Data & Analytics team is hiring a Senior Data Engineer with deep experience in DBT, BigQuery, and Airflow. You will design and manage end-to-end data pipelines, transform data with dbt, and ensure quality and performance across data platforms. Proficiency in Python and strong SQL skills are essential.

Join a fast-paced team working across banking, insurance, manufacturing, and more. The role emphasizes collaboration with cross-functional teams, data modeling, and delivering data-driven

Competenze

• 3–5 years of practical data engineering experience.
• Hands-on with dbt for data transformation and modeling.
• Strong SQL and Google BigQuery proficiency.
• Experience building and managing end-to-end data pipelines.
• Familiarity with Python for data engineering tasks.

Mansioni

• Design, build, orchestrate, and manage end-to-end data pipelines.
• Develop scalable data transformation workflows using dbt.
• Participate in the full data software lifecycle: design, develop, test, deploy, support.
• Collaborate with cross-functional teams to deliver data-driven solutions.
• Ensure data quality, reliability, and performance across platforms.
• Write clean, maintainable code following engineering best practices.
• Work with structured and semi-structured data for analytics and reporting.

Conoscenze

DBT

SQL

Python

Data Pipelines

Data Warehousing

End-to-End Experience

Formazione

BE/BTech/MCA

Strumenti

BigQuery

Airflow

ETL/ELT

Descrizione del lavoro

EY - GDS Consulting - AI And DATA - Data Engineer- DBT+BQ+Airflow - Senior

Other locations: Primary Location Only

Date: Oct 14, 2026

Requisition ID: 1743161

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

EY GDS - Data and Analytics (D&A) - DBT, BigQuery, Airflow - Data Engineer - Senior

As part of our EY-GDS D&A (Data and Analytics) team, we help our clients solve complex business challenges with the power of data and technology. We work across industries including Banking, Insurance, Manufacturing, Healthcare, Retail, Supply Chain, and Finance to deliver scalable and innovative data solutions.

The Opportunity

We're looking for candidates with strong experience in modern data engineering practices. The ideal candidate will have hands‑on expertise in building and managing end-to-end data pipelines, data transformation using dbt, and working with Google BigQuery and Apache Airflow. Experience in data warehousing, Star/Snowflake schema design, and Wealth & Asset Management (WAM) data domains is preferred.

Your Technical Responsibilities

• Design, build, orchestrate, and manage end-to-end data pipelines.
• Develop scalable and maintainable data transformation workflows using dbt.
• Participate in the full software and data development lifecycle, including design, development, testing, deployment, and support.
• Collaborate with cross‑functional teams to understand business requirements and deliver data‑driven solutions.
• Ensure data quality, reliability, and performance across data platforms.
• Write clean, reusable, and maintainable code following engineering best practices.
• Work with structured and semi‑structured data sources to support analytics and reporting needs.
• Troubleshoot and optimize existing data pipelines and workflows.
• Develop, test, and maintain high‑quality software and data engineering solutions using Python.

Requirements (Qualifications)

• BE/BTech/MCA with 3 to 5 years of relevant industry experience.

To Qualify for the Role, You Must Have

• 3 to 5 years of hands‑on experience in Data Engineering.
• Experience with dbt for data transformation and modeling.
• Experience in building and managing end‑to‑end data pipelines.
• Strong proficiency in SQL and Google BigQuery.
• Experience with Apache Airflow for workflow orchestration.
• Strong understanding of Data Warehousing, ETL/ELT, and Star/Snowflake schema design.
• Proficiency in Python for data engineering and automation.
• Excellent problem‑solving, analytical, and communication skills.
• Ability to learn new technologies quickly and adapt to a fast‑paced development environment.

Primary Skills

• Data Build Tool (DBT)
• Google BigQuery
• Proven experience in building, orchestrating and managing end‑to‑end data pipelines

Good to have

• Python

Ideally, You'll Also Have

• Client management and stakeholder communication skills.
• Experience working in Agile delivery environments.
• Exposure to cloud‑based data platforms and modern data architecture concepts.

What We Look For

• Professionals with strong technical capabilities and a passion for data engineering.
• Individuals who are eager to learn and adapt to emerging technologies and industry trends.
• Team players who can deliver high‑quality solutions in a fast‑paced environment.

What Working at EY Offers

At EY, we're dedicated to helping our clients, from start‑ups to Fortune 500 companies, solve their toughest challenges. You'll work on meaningful projects while developing your technical and professional skills.

• Support, coaching, and feedback from experienced professionals.
• Opportunities to learn new technologies and advance your career.
• Flexibility and freedom to manage your work effectively.
• Exposure to diverse projects, industries, and global teams.

About EY

As a global leader in assurance, tax, transaction, and consulting services, EY is committed to building a better working world. We invest in our people through learning, development, and career growth opportunities that help them achieve their full potential.

EY | Building a better working world

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.