Ernst & Young Advisory Services Sdn Bhd
EY-GDS Consulting-AI And DATA-Azure Databricks-Senior
Ernst & Young Advisory Services Sdn Bhd, Lima, Ohio, United States
Location: Kolkata
Other locations: Primary Location Only
Date: Sep 30, 2025
Requisition ID: 1646011
EY GDS – Data and Analytics (D And A) – Databricks - Senior
Overview
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. Join us and build an exceptional experience for yourself, and a better working world for all. Job Summary
We are seeking a skilled Data Engineer with expertise in Databricks and Python scripting to enhance our ETL (Extract, Transform, Load) processes. The ideal candidate will have a proven track record of developing and optimizing data pipelines, implementing data solutions, and contributing to the overall data architecture. Key Responsibilities
Design, build, and maintain scalable and efficient data pipelines using Databricks and Python. Develop ETL processes that ingest and transform data from various sources into a structured and usable format. Collaborate with cross-functional teams to gather requirements and deliver data engineering solutions that support business objectives. Write and optimize Python scripts for data extraction, transformation, and loading tasks. Ensure data quality and integrity by implementing best practices and standards for data engineering. Monitor and troubleshoot ETL processes, performing root cause analysis and implementing fixes to improve performance and reliability. Document data engineering processes, creating clear and concise technical documentation for data pipelines and architectures. Stay current with industry trends and advancements in data engineering technologies and methodologies. Qualifications
Bachelor's degree in Computer Science, Information Technology, or a related field. Minimum of 4-8 years of experience in data engineering, with a focus on Databricks and Python scripting for ETL implementation. Strong understanding of data warehousing concepts and experience with SQL and NoSQL databases. Proficiency in Python and familiarity with data engineering libraries and frameworks. Experience with cloud platforms (e.g., AWS, Azure) and big data technologies is a plus. Excellent problem-solving skills and attention to detail. Ability to work independently and as part of a collaborative team. Working Conditions
Innovative and dynamic work environment with a strong emphasis on delivering high-quality data solutions. Opportunity to work with a diverse team of data professionals and contribute to impactful projects. About EY
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. Notice
EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.
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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. Join us and build an exceptional experience for yourself, and a better working world for all. Job Summary
We are seeking a skilled Data Engineer with expertise in Databricks and Python scripting to enhance our ETL (Extract, Transform, Load) processes. The ideal candidate will have a proven track record of developing and optimizing data pipelines, implementing data solutions, and contributing to the overall data architecture. Key Responsibilities
Design, build, and maintain scalable and efficient data pipelines using Databricks and Python. Develop ETL processes that ingest and transform data from various sources into a structured and usable format. Collaborate with cross-functional teams to gather requirements and deliver data engineering solutions that support business objectives. Write and optimize Python scripts for data extraction, transformation, and loading tasks. Ensure data quality and integrity by implementing best practices and standards for data engineering. Monitor and troubleshoot ETL processes, performing root cause analysis and implementing fixes to improve performance and reliability. Document data engineering processes, creating clear and concise technical documentation for data pipelines and architectures. Stay current with industry trends and advancements in data engineering technologies and methodologies. Qualifications
Bachelor's degree in Computer Science, Information Technology, or a related field. Minimum of 4-8 years of experience in data engineering, with a focus on Databricks and Python scripting for ETL implementation. Strong understanding of data warehousing concepts and experience with SQL and NoSQL databases. Proficiency in Python and familiarity with data engineering libraries and frameworks. Experience with cloud platforms (e.g., AWS, Azure) and big data technologies is a plus. Excellent problem-solving skills and attention to detail. Ability to work independently and as part of a collaborative team. Working Conditions
Innovative and dynamic work environment with a strong emphasis on delivering high-quality data solutions. Opportunity to work with a diverse team of data professionals and contribute to impactful projects. About EY
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. Notice
EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by guarantee, does not provide services to clients.
#J-18808-Ljbffr