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JPMorgan Chase Bank
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Software Engineer III

Software Engineer III

JPMorgan Chase Bank

10 - 15 years

20 - 25 Lacs

Bengaluru

Posted:4 hours ago| Platform:

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Skills Required

Computer science NoSQL data security Security services Data quality Business intelligence Information technology Analytics SQL Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Job Title Senior AWS Data Engineer

About the Role

We are seeking an experienced and highly skilled Senior AWS Data Engineer with over 10 years of experience to join our dynamic team. The ideal candidate will have a deep understanding of data engineering principles, extensive experience with AWS services, and a proven track record of designing and implementing scalable data solutions.

Key Responsibilities

Design and implement robust, scalable, and efficient data pipelines and architectures on AWS.
Develop data models and schemas to support business intelligence and analytics requirements.
Utilize AWS services such as S3, Redshift, EMR, Glue, Lambda, and Kinesis to build and optimize data solutions.
Implement data security and compliance measures using AWS IAM, KMS, and other security services.
Design and develop ETL processes to ingest, transform, and load data from various sources into data warehouses and lakes.
Ensure data quality and integrity through validation, cleansing, and transformation processes.
Optimize data storage and retrieval performance through indexing, partitioning, and other techniques.
Monitor and troubleshoot data pipelines to ensure high availability and reliability.
Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver solutions.
Provide technical leadership and mentorship to junior data engineers and team members.
Identify opportunities to automate and streamline data processes for increased efficiency.
Participate in on-call rotations to provide 24/7 support for critical systems and services.

Required Skills and Qualifications

Bachelors or Masters degree in Computer Science, Information Technology, or a related field.
Over 10 years of experience in data engineering, with a strong focus on AWS services.
Proficiency in programming languages such as Python, Java, or Scala.
Extensive experience with SQL and NoSQL databases.
Strong understanding of data warehousing concepts and technologies.
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills.

Job Title Senior AWS Data Engineer

About the Role

Key Responsibilities

Design and implement robust, scalable, and efficient data pipelines and architectures on AWS.
Develop data models and schemas to support business intelligence and analytics requirements.
Utilize AWS services such as S3, Redshift, EMR, Glue, Lambda, and Kinesis to build and optimize data solutions.
Implement data security and compliance measures using AWS IAM, KMS, and other security services.
Design and develop ETL processes to ingest, transform, and load data from various sources into data warehouses and lakes.
Ensure data quality and integrity through validation, cleansing, and transformation processes.
Optimize data storage and retrieval performance through indexing, partitioning, and other techniques.
Monitor and troubleshoot data pipelines to ensure high availability and reliability.
Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver solutions.
Provide technical leadership and mentorship to junior data engineers and team members.
Identify opportunities to automate and streamline data processes for increased efficiency.
Participate in on-call rotations to provide 24/7 support for critical systems and services.

Required Skills and Qualifications

Bachelors or Masters degree in Computer Science, Information Technology, or a related field.
Over 10 years of experience in data engineering, with a strong focus on AWS services.
Proficiency in programming languages such as Python, Java, or Scala.
Extensive experience with SQL and NoSQL databases.
Strong understanding of data warehousing concepts and technologies.
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills.

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