EY - GDS Consulting - AI And DATA - Data Engineer-Senior

EY; Tirupati; On-site; INR 1,500,000 - 2,800,000; Full time

Job summary

EY in India seeks a Senior Data Engineer to design, build, and optimize scalable data solutions across the data lifecycle, from ingestion to deployment. You will contribute to data governance and quality while collaborating in an Agile environment.

You will develop production-grade code in Python, PySpark, and SQL, build CI/CD pipelines, and work with AWS services (S3, Glue) and Databricks. Strong SQL and data modeling are essential.

Qualifications

• Minimum 3 years of experience in data engineering or related field.
• Strong programming skills in Python, PySpark, Scala, and SQL.
• Experience with AWS cloud services (S3, Glue, Lambda) and Databricks.
• Proficiency with DBT for data transformation and modeling.
• Experience in building and maintaining CI/CD pipelines.
• Familiarity with Apache Airflow for workflow orchestration.
• Solid understanding of data governance, data quality, and data security practices.
• Experience working in large data warehousing environments.
• Excellent communication skills in cross-functional teams.

Responsibilities

• Design, develop, and manage robust CI/CD pipelines for data solutions.
• Perform data mapping and integration across diverse source/target systems.
• Build and optimize data engineering pipelines, data modeling, and performance tuning.
• Develop production-grade code in Python, PySpark, SQL; ensure maintainability and scalability.
• Implement enterprise deployments with DevOps best practices; use Git for version control.

Skills

Python

PySpark

SQL

AWS

Databricks

DBT

Airflow

Scala

Git

Jenkins

Subversion

Tools

Git

Jenkins

Subversion

Job description

Job Description:

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.

Senior Data Engineer – Merck Role

The Opportunity:

Join our dynamic team as a Senior Data Engineer, where you will play a critical role in designing, building, and optimizing scalable data solutions that drive business insights and innovation. You will work with cutting-edge technologies in a collaborative Agile environment, contributing to the full data lifecycle from ingestion to transformation and deployment.

Key Responsibilities:

• Design, develop, and manage robust CI/CD pipelines to streamline the product development lifecycle and ensure seamless deployment of data solutions.
• Perform data mapping, and integration between diverse source and target systems to support analytics and business intelligence needs.
• Build and optimize Data & AI solutions, including data engineering pipelines, data modeling, and performance tuning, with 5-8 years of relevant experience.
• Develop high-quality, production-level code primarily in Python, PySpark, and SQL, ensuring maintainability and scalability.
• Implement enterprise-scale production deployments, applying DevOps best practices, with hands-on experience in Git version control.
• Collaborate effectively within Agile teams, contributing to sprint planning, reviews, and continuous improvement.
• Apply strong knowledge of Data Governance and Data Quality standards to maintain data integrity and compliance.

Technical Skills & Experience:

• Extensive experience in building data ingestion frameworks and scalable data pipelines.
• Proven expertise in AWS cloud services including S3, EC2, Glue, Lambda, and Secrets Manager for secure and efficient data processing.
• Hands-on experience with Databricks for unified analytics and collaborative data engineering.
• Proficient in DBT (Data Build Tool) for data transformation and modeling within modern data stacks.
• Skilled in orchestrating workflows using Apache Airflow to automate complex data pipelines.
• Strong programming skills in Python, PySpark, Spark, and Scala for big data processing.
• Experience with software version control and CI/CD tools such as Git, Jenkins, and Apache Subversion.
• AWS / Databricks certifications or equivalent professional technical certifications are highly desirable.
• Familiarity with cloud and enterprise integration technologies.
• Demonstrated ability to write efficient Spark jobs and optimize performance in large-scale environments.
• Excellent analytical skills with deep knowledge of SQL and data querying.
• Minimum 3 years of experience working in very large data warehousing environments.
• Strong communication skills, both written and verbal, to effectively collaborate with cross-functional teams.
• At least 3 years of experience with data warehouse architectures, ETL/ELT processes, and reporting/analytics tools.
• Experience in Python and/or Java development in data engineering contexts.
• Familiarity with Big Data ecosystems including EMR, Hadoop, Databricks, Hive, and Pyspark.

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.