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

10 - 15 years

30 - 35 Lacs

bengaluru

Posted:23 hours ago| Platform:

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Skills Required

assurance due diligence data management analytical consulting data quality asset management analytics financial services sql

Work Mode

Work from Office

Job Type

Full Time

Job Description

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.

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