EY - GDS Consulting - AI and DATA - Snowflake - Manager at EY

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

27 Dec, 25

Salary

0.0

Posted On

28 Sep, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Snowflake, Python, PySpark, SQL, Data Architecture, Data Modelling, Data Integration, ETL, Data Quality, Data Governance, Neo4j, Hadoop, NoSQL, Azure, Kubernetes, Docker

Industry

Professional Services

Description

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. EY - GDS Consulting - AI & DATA - Snowflake & Databrick with Big Data or Pyspark- Manager EY's GDS Consulting AI & DATA is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional and technical capabilities and product knowledge. EY’s financial services practice provides integrated advisory services to financial institutions and other capital markets participants, including commercial banks, retail banks, investment banks, broker-dealers & asset management firms, and insurance firms from leading Fortune 500 Companies. Within EY’s Advisory Practice, Data and Analytics team solves big, complex issues and capitalize on opportunities to deliver better working outcomes that help expand and safeguard the businesses, now and in the future. This way we help create a compelling business case for embedding the right analytical practice at the heart of client’s decision-making. The opportunity We’re looking for Manager – Snowflake & Databrick with Big Data or Pyspark with expertise in Financial Services domain hand-on experience with Big data ecosystem. Primary skills and key responsibilities Design and implement scalable and high-performance data warehouse solutions using snowflake. Design and implement scalable data architecture using PySpark. Core technical stack: Snowflake, Python/PySpark, SQL, identity/security (SAML/OAuth/OIDC, MFA, RBAC), and often Kubernetes/Docker for deployment patterns. Should have strong technical expertise in Neo4j. Data architecture depth: Data modelling, data integration/ETL, batch and streaming pipelines, data quality/profiling/cleansing, MPP designs, and data governance frameworks; optimization across ingestion, transformation, and consumption layers in Databricks. Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution. Excellent communicator (written and verbal formal and informal). Ability to multi-task under pressure and work independently with minimal supervision. Strong verbal and written communication skills. Must be a team player and enjoy working in a cooperative and collaborative team environment. Adaptable to new technologies and standards. Participate in all aspects of Big Data solution delivery life cycle including analysis, design, development, testing, production deployment, and support Nice to have skills Understanding & familiarity with all Hadoop Ecosystem components and Hadoop Administrative Fundamentals Experience working with NoSQL in at least one of the data stores - HBase, Cassandra, MongoDB Experience in HDFS, Hive, Impala Experience is schedulers like Airflow, Nifi etc. Experienced in Hadoop clustering and Auto scaling. Develop standardized practices for delivering new products and capabilities using Big Data technologies, including data acquisition, transformation, and analysis. Define and develop client specific best practices around data management within a Hadoop environment on Azure cloud To qualify for the role, you must have BE/BTech/MCA/MBA Minimum 10+ years hand-on experience in one or more relevant areas. Total of 12+ years industry experience Ideally, you’ll also have Experience on Banking and Capital Markets domains Skills and attributes for success Use an issue-based approach to deliver growth, market and portfolio strategy engagements for corporates Strong communication, presentation and team building skills and experience in producing high quality reports, papers, and presentations. Experience in executing and managing research and analysis of companies and markets, preferably from a commercial due diligence standpoint. What we look for A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY Advisory practices globally with leading businesses across a range of industries What working at EY offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

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Responsibilities

Design and implement scalable and high-performance data warehouse solutions using Snowflake and PySpark. Participate in all aspects of Big Data solution delivery life cycle including analysis, design, development, testing, production deployment, and support.