Data Engineer III Data Modeler and Engineer

Bengaluru - India

Monthly Salary: Not Disclosed

Posted on: 14 hours ago

Vacancies: 1 Vacancy

Job Summary

Description

Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.

As a Data Engineer III at JPMorgan Chase within the Corporate Compliance Technology you will be a seasoned member of an agile team tasked with designing and delivering reliable data collection storage access and analytics solutions that are secure stable and scalable. Your responsibilities include developing testing and maintaining essential data pipelines and architectures across diverse technical areas supporting various business functions to achieve the firms business objectives.

Job responsibilities

Design and implement data models (conceptual logical and physical) to support business requirements.
Work with structured and unstructured data from multiple sources and integrate them into Databricks.
Collaborate with data engineers analysts and business stakeholders to understand data needs.
Apply and promote best practices in data engineering security risk management regulatory compliance and automation.
Create and maintain documentation for data models pipelines and architectures.
Collaborate cross-functionally with software engineering analytics and business teams to deliver data solutions aligned with business objectives

Required qualifications capabilities and skills

Formal training or certification on software engineering concepts and 3 years applied experience
Hands-on experience in data modeling with strong SQL Python for data manipulation
Strong expertise in Databricks Delta Lake advanced queries.
Hands-on experience with Big Data Glue catalog on AWS Data Mesh relational databases (Oracle) SQL and NoSQL.
Strong problem-solving skills and the ability to work in an agile environment.
Proficiency in enterprise-grade languages (e.g. Python) and data modeling (ERWin) & engineering tools.
Experience in data engineering with a proven track record of leading large-scale data architecture and transformation projects in hybrid cloud and on-prem environments.
Expertise in data modeling database design big data technologies cloud data platforms (AWS Azure GCP) and modern data tools (e.g. Snowflake Databricks Teradata).
Strong experience architecting and optimizing transactional and analytical data systems.
Knowledge of ETL/ELT processes and data pipeline development.
Solid background in data security risk management and regulatory compliance.

Preferred qualifications capabilities and skills

Experience with cloud platforms (AWS Azure or GCP) is a plus. Experience with OLAP tools (TM1 Essbase Atoti etc) is a plus.
Experience in Compliance and Risk domain (Operational and Compliance Risk Surveillance and Financial Crimes) will be preferable.
Familiarity with data governance security and compliance best practices.

Required Experience:

DescriptionBe part of a dynamic team where your distinctive skills will contribute to a winning culture and team.As a Data Engineer III at JPMorgan Chase within the Corporate Compliance Technology you will be a seasoned member of an agile team tasked with designing and delivering reliable data colle...

Description

Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.

Job responsibilities

Design and implement data models (conceptual logical and physical) to support business requirements.
Work with structured and unstructured data from multiple sources and integrate them into Databricks.
Collaborate with data engineers analysts and business stakeholders to understand data needs.
Apply and promote best practices in data engineering security risk management regulatory compliance and automation.
Create and maintain documentation for data models pipelines and architectures.
Collaborate cross-functionally with software engineering analytics and business teams to deliver data solutions aligned with business objectives

Required qualifications capabilities and skills

Formal training or certification on software engineering concepts and 3 years applied experience
Hands-on experience in data modeling with strong SQL Python for data manipulation
Strong expertise in Databricks Delta Lake advanced queries.
Hands-on experience with Big Data Glue catalog on AWS Data Mesh relational databases (Oracle) SQL and NoSQL.
Strong problem-solving skills and the ability to work in an agile environment.
Proficiency in enterprise-grade languages (e.g. Python) and data modeling (ERWin) & engineering tools.
Experience in data engineering with a proven track record of leading large-scale data architecture and transformation projects in hybrid cloud and on-prem environments.
Expertise in data modeling database design big data technologies cloud data platforms (AWS Azure GCP) and modern data tools (e.g. Snowflake Databricks Teradata).
Strong experience architecting and optimizing transactional and analytical data systems.
Knowledge of ETL/ELT processes and data pipeline development.
Solid background in data security risk management and regulatory compliance.

Preferred qualifications capabilities and skills

Experience with cloud platforms (AWS Azure or GCP) is a plus. Experience with OLAP tools (TM1 Essbase Atoti etc) is a plus.
Experience in Compliance and Risk domain (Operational and Compliance Risk Surveillance and Financial Crimes) will be preferable.
Familiarity with data governance security and compliance best practices.

Required Experience:

Key Skills

Apache Hive
S3
Hadoop
Redshift
Spark
AWS
Apache Pig
NoSQL
Big Data
Data Warehouse
Kafka
Scala

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About Company

JPMorganChase

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans ov ... View more

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