Data Engineer (AWS) Job at NTT DATA (Remote)

Data Engineer (AWS)

Fyld is a Portuguese consulting company specializing in IT services. We bring hi...

Location

Portugal , Lisboa

Salary:

Not provided

Fyld

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Software Engineering, Data Engineering, or related
Relevant certifications in AWS, such as AWS Certified Solutions Architect, AWS Certified Developer, or AWS Certified Data Analytics
Hands-on experience with AWS services, especially those related to Big Data and data analytics, such as Amazon Redshift, Amazon EMR, Amazon Athena, Amazon Kinesis, Amazon Glue, among others
Familiarity with data storage and processing services on AWS, including Amazon S3, Amazon RDS, Amazon DynamoDB, and AWS Lambda
Proficiency in programming languages such as Python, Scala, or Java for developing data pipelines and automation scripts
Knowledge of distributed data processing frameworks, such as Apache Spark or Apache Flink
Experience in data modeling, cleansing, transformation, and preparation for analysis
Ability to work with different types of data, including structured, unstructured, and semi-structured data
Familiarity with data architecture concepts such as data lakes, data warehouses, and data pipelines (not mandatory)
Knowledge of security and compliance practices on AWS, including access control, data encryption, and regulatory compliance

Fulltime

Senior Data Engineer – Data Engineering & AI Platforms

We are looking for a highly skilled Senior Data Engineer (L2) who can design, bu...

Location

India , Chennai, Madurai, Coimbatore

Salary:

Not provided

OptiSol Business Solutions

Expiration Date

Until further notice

Requirements

Strong hands-on expertise in cloud ecosystems (Azure / AWS / GCP)
Excellent Python programming skills with data engineering libraries and frameworks
Advanced SQL capabilities including window functions, CTEs, and performance tuning
Solid understanding of distributed processing using Spark/PySpark
Experience designing and implementing scalable ETL/ELT workflows
Good understanding of data modeling concepts (dimensional, star, snowflake)
Familiarity with GenAI/LLM-based integration for data workflows
Experience working with Git, CI/CD, and Agile delivery frameworks
Strong communication skills for interacting with clients, stakeholders, and internal teams

Job Responsibility

Design, build, and maintain scalable ETL/ELT pipelines across cloud and big data platforms
Contribute to architectural discussions by translating business needs into data solutions spanning ingestion, transformation, and consumption layers
Work closely with solutioning and pre-sales teams for technical evaluations and client-facing discussions
Lead squads of L0/L1 engineers—ensuring delivery quality, mentoring, and guiding career growth
Develop cloud-native data engineering solutions using Python, SQL, PySpark, and modern data frameworks
Ensure data reliability, performance, and maintainability across the pipeline lifecycle—from development to deployment
Support long-term ODC/T&M projects by demonstrating expertise during technical discussions and interviews
Integrate emerging GenAI tools where applicable to enhance data enrichment, automation, and transformations

What we offer

Opportunity to work at the intersection of Data Engineering, Cloud, and Generative AI
Hands-on exposure to modern data stacks and emerging AI technologies
Collaboration with experts across Data, AI/ML, and cloud practices
Access to structured learning, certifications, and leadership mentoring
Competitive compensation with fast-track career growth and visibility

Fulltime

AWS Data Engineer

We are seeking a skilled AWS Data Engineer to join our team and help drive data ...

Location

United States , Charlotte

Salary:

60.00 USD / Hour

Realign

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Information Systems, or related field
3+ years of experience in data engineering, with a focus on AWS cloud services
Proficiency in SQL, Python, and AWS data services such as S3, Glue, EMR, and Redshift
Experience with ETL processes, data modeling, and data visualization tools
Strong analytical and problem-solving skills
Excellent communication and teamwork abilities

Job Responsibility

Design and implement scalable and efficient data pipelines using AWS services such as S3, Glue, EMR, and Redshift
Develop and maintain data lakes and data warehouses to store and process large volumes of structured and unstructured data
Collaborate with data scientists and business analysts to deliver actionable insights and analytics solutions
Optimize data infrastructure for performance, reliability, and cost efficiency
Troubleshoot and resolve data integration and data quality issues
Stay current with industry trends and best practices in cloud data engineering
Provide technical guidance and mentorship to junior team members

AWS Data Engineer

AlgebraIT is hiring an AWS Data Engineer in Austin, Texas! If you have at least ...

Location

United States , Austin

Salary:

Not provided

AlgebraIT

Expiration Date

Until further notice

Requirements

3+ years of experience in data engineering with AWS
Proficiency in Python, SQL, and big data tools
Experience with AWS services such as Lambda and EC2
Strong communication and teamwork skills
Bachelor’s in Computer Science or similar

Job Responsibility

Develop and maintain data pipelines using AWS services
Automate data ingestion and processing workflows
Collaborate with cross-functional teams to ensure robust data solutions
Monitor and optimize data pipeline performance
Ensure data quality and implement security best practices
Integrate data from multiple sources for analytics
Implement data validation and error-handling processes
Write and maintain technical documentation for data workflows
Manage and configure cloud infrastructure related to data pipelines
Provide technical support and troubleshooting for data-related issues

Fulltime

Senior AWS Data Engineer / Data Platform Engineer

We are seeking a highly experienced Senior AWS Data Engineer to design, build, a...

Location

United Arab Emirates , Dubai

Salary:

Not provided

NorthBay

Expiration Date

Until further notice

Requirements

8+ years of experience in data engineering and data platform development
Strong hands-on experience with: AWS Glue
Amazon EMR (Spark)
AWS Lambda
Apache Airflow (MWAA)
Amazon EC2
Amazon CloudWatch
Amazon Redshift
Amazon DynamoDB
AWS DataZone

Job Responsibility

Design, develop, and optimize scalable data pipelines using AWS native services
Lead the implementation of batch and near-real-time data processing solutions
Architect and manage data ingestion, transformation, and storage layers
Build and maintain ETL/ELT workflows using AWS Glue and Apache Spark on EMR
Orchestrate complex data workflows using Apache Airflow (MWAA)
Develop and manage serverless data processing using AWS Lambda
Design and optimize data warehouses using Amazon Redshift
Implement and manage NoSQL data models using Amazon DynamoDB
Utilize AWS DataZone for data governance, cataloging, and access management
Monitor, log, and troubleshoot data pipelines using Amazon CloudWatch

Fulltime

AWS Data Engineer

We are looking for a skilled AWS Data Engineer to build and support cloud-based ...

Location

United Arab Emirates , Dubai

Salary:

Not provided

NorthBay

Expiration Date

Until further notice

Requirements

5–8 years of experience in data engineering or related roles
Hands-on experience with AWS Glue
Hands-on experience with Amazon EMR
Hands-on experience with AWS Lambda
Hands-on experience with Apache Airflow (MWAA)
Hands-on experience with Amazon EC2
Hands-on experience with Amazon CloudWatch
Hands-on experience with Amazon Redshift
Hands-on experience with Amazon DynamoDB
Hands-on experience with AWS DataZone

Job Responsibility

Develop and maintain scalable batch data pipelines on AWS
Implement ETL/ELT jobs using AWS Glue and Spark on EMR
Build and manage workflow orchestration using Apache Airflow (MWAA)
Develop serverless data processing functions using AWS Lambda
Work with Amazon Redshift for data warehousing and analytics
Implement data storage and retrieval using Amazon DynamoDB
Use AWS DataZone for data discovery, governance, and access control
Monitor data pipelines and system health using Amazon CloudWatch
Troubleshoot data processing failures and performance issues
Collaborate with analytics, reporting, and business teams

Fulltime

Software Engineer - Data Engineering

Akuna Capital is a leading proprietary trading firm specializing in options mark...

Location

United States , Chicago

Salary:

130000.00 USD / Year

AKUNA CAPITAL

Expiration Date

Until further notice

Requirements

BS/MS/PhD in Computer Science, Engineering, Physics, Math, or equivalent technical field
5+ years of professional experience developing software applications
Java/Scala experience required
Highly motivated and willing to take ownership of high-impact projects upon arrival
Prior hands-on experience with data platforms and technologies such as Delta Lake, Spark, Kubernetes, Kafka, ClickHouse, and/or Presto/Trino
Experience building large-scale batch and streaming pipelines with strict SLA and data quality requirements
Must possess excellent communication, analytical, and problem-solving skills
Recent hands-on experience with AWS Cloud development, deployment and monitoring necessary
Demonstrated experience working on an Agile team employing software engineering best practices, such as GitOps and CI/CD, to deliver complex software projects
The ability to react quickly and accurately to rapidly changing market conditions, including the ability to quickly and accurately respond and/or solve math and coding problems are essential functions of the role

Job Responsibility

Work within a growing Data Engineering division supporting the strategic role of data at Akuna
Drive the ongoing design and expansion of our data platform across a wide variety of data sources, supporting an array of streaming, operational and research workflows
Work closely with Trading, Quant, Technology & Business Operations teams throughout the firm to identify how data is produced and consumed, helping to define and deliver high impact projects
Build and deploy batch and streaming pipelines to collect and transform our rapidly growing Big Data set within our hybrid cloud architecture utilizing Kubernetes/EKS, Kafka/MSK and Databricks/Spark
Mentor junior engineers in software and data engineering best practices
Produce clean, well-tested, and documented code with a clear design to support mission critical applications
Build automated data validation test suites that ensure that data is processed and published in accordance with well-defined Service Level Agreements (SLA’s) pertaining to data quality, data availability and data correctness
Challenge the status quo and help push our organization forward, as we grow beyond the limits of our current tech stack

What we offer

Discretionary performance bonus
Comprehensive benefits package that may encompass employer-paid medical, dental, vision, retirement contributions, paid time off, and other benefits

Fulltime

Software Engineer (Data Engineering)

We are seeking a Software Engineer (Data Engineering) who can seamlessly integra...

Location

India , Hyderabad

Salary:

Not provided

NStarX

Expiration Date

Until further notice

Requirements

4+ years in Data Engineering and AI/ML roles
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
Python, SQL, Bash, PySpark, Spark SQL, boto3, pandas
Apache Spark on EMR (driver/executor model, sizing, dynamic allocation)
Amazon S3 (Parquet) with lifecycle management to Glacier
AWS Glue Catalog and Crawlers
AWS Step Functions, AWS Lambda, Amazon EventBridge
CloudWatch Logs and Metrics, Kinesis Data Firehose (or Kafka/MSK)
Amazon Redshift and Redshift Spectrum
IAM (least privilege), Secrets Manager, SSM

Job Responsibility

Design, build, and maintain scalable ETL and ELT pipelines for large-scale data processing
Develop and optimize data architectures supporting analytics and ML workflows
Ensure data integrity, security, and compliance with organizational and industry standards
Collaborate with DevOps teams to deploy and monitor data pipelines in production environments
Build predictive and prescriptive models leveraging AI and ML techniques
Develop and deploy machine learning and deep learning models using TensorFlow, PyTorch, or Scikit-learn
Perform feature engineering, statistical analysis, and data preprocessing
Continuously monitor and optimize models for accuracy and scalability
Integrate AI-driven insights into business processes and strategies
Serve as the technical liaison between NStarX and client teams

What we offer

Competitive salary and performance-based incentives
Opportunity to work on cutting-edge AI and ML projects
Exposure to global clients and international project delivery
Continuous learning and professional development opportunities
Competitive base + commission
Fast growth into leadership roles

Fulltime

Data Engineer (AWS)

NTT DATA

Location:
India , Remote

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 13, 2026

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