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239 results (16 new)

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AWS Data Lead

RAPS Consulting Inc

Hybrid in Newark, New Jersey • Yesterday

Easy Apply

Contract, Third Party

55 - 65

AWS Lead Data Engineer

SpikeIT Global Solutions

Newark, New Jersey • Today

Full-time

Senior Lead Software Engineer - Java, React, AWS

BAMM

Jersey City, New Jersey • Today

Easy Apply

Full-time

Depends on Experience

Java AWS Tech Lead

IKCON TECHNOLOGIES Inc.

Newark, New Jersey • 8d ago

Easy Apply

Third Party, Contract

Lead Software Engineer - Java, React, AWS

JPMorgan Chase & Co.

Hoboken, New Jersey • 6d ago

Full-time

Lead Software Engineer - Java, React, AWS

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

USD 156,750.00 - 215,000.00 per year

Lead Software Engineer - Java, AWS, AI/ML

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

USD 156,750.00 - 215,000.00 per year

Full Stack Java / Typescript / AWS Lead Software Engineer

JPMorgan Chase & Co.

New York, New York • Today

Full-time

USD 156,750.00 - 215,000.00 per year

AWS Data Engineer

Turing IT Labs

Hybrid in New York, New York • Today

Easy Apply

Contract

70 - 75

Senior Lead Software Engineer (Java/AWS) - Alternatives Technology

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

USD 175,750.00 - 260,000.00 per year

Lead Software Engineer (Java/AWS) - Alternatives Technology

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

USD 156,750.00 - 215,000.00 per year

Lead Software Developer - Python, AWS & AI Platform

JPMorgan Chase & Co.

Hoboken, New Jersey • Today

Full-time

Lead AWS IAM Security Engineer

EPAM Systems

Remote or New York, New York • Today

Full-time

Lead Software Engineer-Go / Kubernetes / AWS

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

USD 156,750.00 - 215,000.00 per year

Sr Lead Software Engineer - AWS, Terraform

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

USD 175,750.00 - 260,000.00 per year

Lead Software Engineer- Java/Python/AWS

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

USD 156,750.00 - 215,000.00 per year

Sr. Lead Software Engineer-Full Stack/Java/AWS

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

USD 175,750.00 - 260,000.00 per year

VP, Software Engineering Lead (.NET/AWS)

LPL Financial Holdings, Inc.

New York, New York • Today

Full-time

USD 170,800.00 - 284,600.00 per year

AWS Data Engineer

Rivago infotech inc

Bernards, New Jersey • Yesterday

Easy Apply

Third Party, Contract

60 - 63

Looking for Tech Lead (Java, Node.Js, Python and AWS) in Newark, NJ, Edgewood, LI, Coppell TX, or NYC (Hybrid)

Saksoft

Hybrid in Newark, New Jersey • 3d ago

Easy Apply

Third Party, Contract

Depends on Experience

Data Engineer Lead

AIG Technologies

Parsippany-Troy Hills, New Jersey • 13d ago

Full-time

USD 125,000.00 - 135,000.00 per year

Lead Data Engineer

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

USD 147,250.00 - 190,000.00 per year

SAP Enterprise Data Analytics Lead

Rayven IT Solutions

Hybrid in Edison, New Jersey • Today

Easy Apply

Contract, Third Party

Depends on Experience

Lead Software Engineer - Python/ Java/ AWS

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

USD 156,750.00 - 215,000.00 per year

Lead Data Architect - Databricks & AWS

Software Guidance & Assistance

New York, New York • Today

Contract

Senior/ Lead Data Engineer- Snowflake Cortex+ AWS Bedrock

Akshaya Inc

Remote • 6d ago

Easy Apply

Contract

Depends on Experience

Lead Software Engineer (Java, AWS) - Common Components

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

USD 156,750.00 - 215,000.00 per year

AWS Lakehouse Data Engineer

System One

Remote • 8d ago

Easy Apply

Contract

Depends on Experience

Senior Lead Software Engineer - AWS / Terraform

JPMorgan Chase & Co.

Jersey City, New Jersey • Today

Full-time

USD 175,750.00 - 260,000.00 per year

Java Lead

UniqueHire Consulting LLC

Berkeley Heights, New Jersey • Today

Easy Apply

Contract

Depends on Experience

Job Details

Skills

Amazon Lambda
Amazon Redshift
Amazon Web Services
Amazon S3
Capital Market
Computer Science
Data Integration
Analytical Skill
ELT
SQL
Investment Banking
Data Modeling
Disaster Recovery
Glue
AWS Step Functions
Data Pipeline
Python
AWS services
Docker
Data Warehouse
Extract, Transform, Load
Information Systems
PySpark
Step-Functions

Summary

Job Title: AWS Data Pipeline Engineer / Technical Lead /AWS Data Engineer

Location: Newark, NJ (Hybrid – 2 to 3 days onsite per week), Local candidates
Duration: 12 Months
Exp Needed - 14+ Years
Domain: Investment Banking

Position Summary

We are seeking a highly experienced AWS Data Pipeline Engineer/Technical Lead to design, build, optimize, and support scalable, enterprise-grade data pipelines within a cloud-native AWS environment.

Key Responsibilities

Design, develop, deploy, and maintain batch and real-time data pipelines using AWS services.
Build scalable and resilient solutions for processing multi-terabyte datasets and high-throughput event streams.
Implement end-to-end data ingestion, transformation, validation, enrichment, and delivery processes.
Design and implement serverless data processing solutions using AWS Lambda and Step Functions.
Develop distributed data processing solutions leveraging AWS Glue, EMR, and PySpark.
Build and optimize data warehouse solutions using Amazon Redshift.
Develop high-performance analytical solutions using Amazon Athena and S3-based Data Lakes.
Optimize data pipelines through partitioning strategies, file layout design, indexing, caching, and workload tuning.

Required Skills

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
13+ years of experience in Data Engineering, ETL/ELT, Data Integration, or Data Pipeline Development.
Strong expertise in AWS Cloud Data Engineering Services.
Hands-on implementation experience with:

AWS Lambda
AWS Step Functions
Amazon S3
AWS Glue
Amazon Redshift
Amazon Athena

Strong proficiency in Python, PySpark, and SQL.
Experience building and supporting enterprise-scale Data Lakes and Data Warehouses.
Expertise in data modeling, partitioning strategies, file formats, and performance optimization.
Strong understanding of query tuning, workload management, and bottleneck analysis.
Experience implementing logging, monitoring, alerting, retry mechanisms, fault tolerance, and disaster recovery.
Proven ability to explain architecture decisions, technical implementations, and performance considerations in detail.
Strong analytical, troubleshooting, and technical leadership skills.
Excellent verbal and written communication skills.

Preferred Qualifications

Experience working in Investment Banking, Capital Markets, or Financial Services environments.
Knowledge of Data Governance, Metadata Management, and Master Data Management (MDM).
Experience with Docker and Kubernetes.
Experience architecting cloud-native, event-driven data platforms.
Prior experience leading or mentoring data engineering teams.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90969135
Position Id: 9120484
Posted 1 day ago

Fitment

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Contact the job poster

Nitin Kumar

Recruiter @ RAPS Consulting Inc

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Job Details

Skills

Amazon Lambda
Amazon Redshift
Amazon Web Services
Amazon S3
Capital Market
Computer Science
Data Integration
Analytical Skill
ELT
SQL
Investment Banking
Data Modeling
Disaster Recovery
Glue
AWS Step Functions
Data Pipeline
Python
AWS services
Docker
Data Warehouse
Extract, Transform, Load
Information Systems
PySpark
Step-Functions

Summary

Job Title: AWS Data Pipeline Engineer / Technical Lead /AWS Data Engineer

Location: Newark, NJ (Hybrid – 2 to 3 days onsite per week), Local candidates
Duration: 12 Months
Exp Needed - 14+ Years
Domain: Investment Banking

Position Summary

Key Responsibilities

Design, develop, deploy, and maintain batch and real-time data pipelines using AWS services.
Build scalable and resilient solutions for processing multi-terabyte datasets and high-throughput event streams.
Implement end-to-end data ingestion, transformation, validation, enrichment, and delivery processes.
Design and implement serverless data processing solutions using AWS Lambda and Step Functions.
Develop distributed data processing solutions leveraging AWS Glue, EMR, and PySpark.
Build and optimize data warehouse solutions using Amazon Redshift.
Develop high-performance analytical solutions using Amazon Athena and S3-based Data Lakes.
Optimize data pipelines through partitioning strategies, file layout design, indexing, caching, and workload tuning.

Required Skills

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
13+ years of experience in Data Engineering, ETL/ELT, Data Integration, or Data Pipeline Development.
Strong expertise in AWS Cloud Data Engineering Services.
Hands-on implementation experience with:

AWS Lambda
AWS Step Functions
Amazon S3
AWS Glue
Amazon Redshift
Amazon Athena

Strong proficiency in Python, PySpark, and SQL.
Experience building and supporting enterprise-scale Data Lakes and Data Warehouses.
Expertise in data modeling, partitioning strategies, file formats, and performance optimization.
Strong understanding of query tuning, workload management, and bottleneck analysis.
Experience implementing logging, monitoring, alerting, retry mechanisms, fault tolerance, and disaster recovery.
Proven ability to explain architecture decisions, technical implementations, and performance considerations in detail.
Strong analytical, troubleshooting, and technical leadership skills.
Excellent verbal and written communication skills.

Preferred Qualifications

Experience working in Investment Banking, Capital Markets, or Financial Services environments.
Knowledge of Data Governance, Metadata Management, and Master Data Management (MDM).
Experience with Docker and Kubernetes.
Experience architecting cloud-native, event-driven data platforms.
Prior experience leading or mentoring data engineering teams.

Dice Id: 90969135
Position Id: 9120484
Posted 1 day ago

Fitment