Cloud Engineer, Data Processing Job at Aptiv plc (Monterrey)

Senior Cloud Engineer, Data Processing

As a Senior Cloud Engineer, Data Processing on the Sustaining Engineering L3 tea...

Location

India , Chennai

Salary:

Not provided

Aptiv plc

Expiration Date

Until further notice

Requirements

Bachelor's Degree – Computer Science, Computer Engineering, or similar
8+ years Python and/or Golang software development experience
Proven ability to analyze and navigate legacy codebases, including independently investigating, debugging, and resolving issues without detailed documentation
Demonstrated skill at navigating ambiguity and resolving issues without detailed instructions or oversight
Experience interfacing applications with relational and non-relational databases (e.g., MySQL, MongoDB), including CRUD operations and schema design
Proficient in Linux environments and shell scripting
Deep experience with Kubernetes, AWS, RabbitMQ, MongoDB, and MySQL in production settings
Familiarity with debugging tools, performance profiling, and system optimization techniques
Strong written and oral communication skills, with the ability to clearly document and explain technical concepts

Job Responsibility

Support and enhance Aptiv’s cloud-based data processing systems for automotive datalogger data, including ingest pipelines, ETL workflows, and analytics infrastructure
Investigate, root-cause, and resolve production issues across distributed systems, often involving complex legacy code and minimal documentation
Collaborate with systems analysts, engineers, and developers to troubleshoot issues, implement improvements, and ensure system reliability and performance
Partner with internal stakeholders to develop and execute validation plans that confirm fixes and enhancements meet operational and customer expectations
Stay current with evolving cloud technologies, data processing frameworks, and tooling to continuously improve support capabilities and system efficiency

What we offer

Higher Education Opportunities (UDACITY, UDEMY, COURSERA are available for your continuous growth and development)
Life and accident insurance
Sodexo cards for food and beverages
Well Being Program that includes regular workshops and networking events
EAP Employee Assistance
Access to fitness clubs (T&C apply)
Creche facility for working parents

Fulltime

Aws Data Engineer (Cloud Data Platform & Pipeline Specialist)

Design, develop, and maintain scalable cloud-based data pipelines using AWS serv...

Location

United States , Atlanta

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

5+ years of experience in data engineering, with strong hands-on expertise in AWS data services (Glue, EMR, S3, RDS, DataSync, DMS)
5+ years of Proven experience building and managing data pipelines (batch and streaming) in cloud environments
5+ years of Strong experience in data migration, transformation frameworks, and large-scale data replication
5+ years of Deep understanding of data modeling, data transformation, and reconciliation techniques
5+ years of Experience designing and implementing secure data access and governance (least privilege principles)
5+ years of Hands-on experience with data validation, auditing, and reconciliation processes
Familiarity with regulatory or finance data environments and reporting workloads
5+ years of Strong problem-solving skills and ability to work in a collaborative, fast-paced environment
AWS data services
data pipelines

Job Responsibility

Design, develop, and maintain scalable cloud-based data pipelines using AWS services such as Glue, EMR, S3, RDS, DataSync, and DMS
Build and optimize batch and streaming data orchestration workflows to support enterprise data platforms
Lead large-scale data migration efforts, including legacy-to-cloud transformations and replication strategies
Perform data modeling, transformation, and reconciliation to ensure high-quality, consistent datasets across systems
Implement secure data access patterns following least-privilege principles for pipelines and datasets
Collaborate with data architects, analysts, and business stakeholders to understand data requirements and deliver solutions
Establish robust data validation, reconciliation, and audit mechanisms to meet regulatory and reporting requirements
Troubleshoot and optimize performance of ETL/ELT pipelines and data workflows in AWS environments
Support governance, compliance, and audit readiness for data platforms in regulated environments (finance/reporting)

Fulltime

Data Engineer (Big Data, Cloud - AWS, Databricks) - Assistant Vice President

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Scala, Spark/Pyspark is must, Hadoop ( BIG Data ), + AWS,Databricks
8 to 11 years’ experience implementing data-intensive solutions using agile methodologies
Experience of relational databases and using SQL for data querying, transformation and manipulation
Experience of modelling data for analytical consumers
Ability to automate and streamline the build, test and deployment of data pipelines
Experience in cloud native technologies and patterns
A passion for learning new technologies, and a desire for personal growth, through self-study, formal classes, or on-the-job training
Excellent communication and problem-solving skills
An inclination to mentor
an ability to lead and deliver medium sized components independently

Job Responsibility

Developing and supporting scalable, extensible, and highly available data solutions
Deliver on critical business priorities while ensuring alignment with the wider architectural vision
Identify and help address potential risks in the data supply chain
Follow and contribute to technical standards
Design and develop analytical data models

Fulltime

Etl Cloud Data Engineer

Wissen Technology is hiring for ETL Cloud data engineer. We are seeking an exper...

Location

India , Mumbai

Salary:

Not provided

Wissen

Expiration Date

Until further notice

Requirements

Must be strong in ETL solutioning using IDMC and can understand Data Warehouse Architecture
Hands-on knowledge on how SQL, IDMC, Power Center works
Strong in logical reasoning capabilities
Should have strong hands-on experience on SQL query performance tuning concepts
Good UNIX Shell, Python scripting knowledge
Should have working knowledge of GitHub, DevOps, CICD/ Enterprise code management tools
Strong collaboration and communication skills
Must possess strong team-player skills and should have excellent written and verbal communication skills
Ability to create and maintain a positive environment of shared success
Ability to execute and prioritize tasks and resolve issues without aid from direct manager or project sponsor

Job Responsibility

Own Cloud based ETL platform and become technical point of contact for all related teams
Assist existing and new applications to come up with most queries for their requirements
L3 point of contact for issues related to IDMC (Cloud ETL) platform
Performance tuning and Capacity management of ETL processes
New technology POC and suitability analysis for Cloud migration
Process optimization with the help of automation and new utility development
Work in collaboration with Informatica vendor for any issues and new features
Performance review of all changes going into Prod

Fulltime

Data Engineer (Cloud Architecture)

Data Careers is supporting a secure public sector organisation in the East Midla...

Location

United Kingdom , East Midlands

Salary:

Not provided

DataCareers

Expiration Date

Until further notice

Requirements

UK-based
Continuously resided in the UK for a minimum of five years
Eligible to obtain NPPV3 and SC clearance
Microsoft Fabric implementation, configuration or administration
Data engineering and ETL/ELT development
Data ingestion and integration from multiple source systems
Cloud-based data platform experience, ideally Azure
API integration and data pipeline development
SQL and data modelling expertise
Experience working with large and complex datasets

Job Responsibility

Design, develop and maintain modern cloud-based data pipelines
Build and support ETL and ELT processes across multiple source systems
Configure and administer Microsoft Fabric data environments
Design and implement data ingestion and landing strategies
Develop scalable data architectures using Medallion Architecture principles
Deliver API integrations and automated data workflows
Support data quality, governance and compliance requirements
Collaborate with analysts and stakeholders to develop effective data solutions
Contribute to the ongoing development of data engineering standards and best practice

Fulltime

Data Engineer – Cloud and Analytics Platforms

As a Data Engineer, you will be the foundational backbone of our data analytics ...

Location

Canada , Calgary

Salary:

Not provided

Randstad

Expiration Date

August 02, 2026

Requirements

Minimum of 3+ years in a dedicated Data Engineering role or a Software Developer role with a strong focus on data-backend development and complex transformations
Excellent, production-level knowledge of Python
Strong knowledge of SQL paired with a deep understanding of performance analysis and query optimization techniques
Rigid grasp of computer science fundamentals, including modularity, abstraction, data structures, and algorithms
Solid understanding of core data modeling concepts (normalized vs. denormalized data architectures, conceptual/logical/physical models, and star/snowflake schemas)
Proven experience building automated, production-grade ETL/ELT pipelines
Solid project experience leveraging various data storage technologies (including RDBMS, NoSQL, and Graph Databases)
Direct experience with cloud infrastructure provisioning and deployment automation on AWS

Job Responsibility

Build, improve, and maintain data infrastructure for ingesting, storing, and transforming data across advanced analytical workflows
Implement robust, scalable data pipelines supporting both stream and batch processing
Perform end-to-end ETL/ELT processes to extract and load data from a wide variety of structured and unstructured sources
Partner with enterprise architects and Information Services (IS) teams to design and evolve the overarching data platform environment in AWS
Write complex, automated SQL queries to manipulate data extracts and manage large-scale data flows
Perform continuous query optimization, performance analysis, and database tuning to minimize processing latency and cost
Assist with logical and physical data modeling, implementing optimized data structures (e.g., star and snowflake schemas)
Automate cloud deployments, data flows, and automated data quality validation checks
Collaborate closely with Data Scientists and ML developers to build, test, and operationalize automated ML pipelines
Design rigorous testing processes, formulating and executing comprehensive test cases for data validation

Fulltime

Cloud Data Engineer

We are seeking a technically skilled Cloud Data Engineer with strong expertise i...

Location

India , Pune

Salary:

Not provided

Vodafone

Expiration Date

Until further notice

Requirements

Proficient in SQL and PL/SQL, with hands-on experience in GCP BigQuery
Experienced in building cloud infrastructure using GCP services
Skilled in debugging and resolving issues in cloud-based applications
Familiar with data warehousing concepts and large-scale data processing
Strong analytical and problem-solving abilities
Comfortable working in collaborative, cross-functional teams

Job Responsibility

Write and debug complex SQL and PL/SQL queries within GCP BigQuery
Build and maintain infrastructure using GCP tools such as Google Cloud Functions, App Engine, and Cloud Run
Collaborate with data engineers to process and manage large datasets using GCP services including BigQuery and Cloud Storage
Apply best practices for performance optimisation, security, and scalability of cloud applications
Develop unit tests and maintain documentation to ensure code quality and maintainability
Troubleshoot and debug cloud-based applications in production environments
Work on cloud-native development projects
Apply understanding of both SQL and NoSQL database systems and data processing frameworks

What we offer

Opportunity to work on cutting-edge cloud technologies and large-scale data projects
Exposure to collaborative, cross-functional teams and agile development practices
A chance to contribute to high-impact, scalable solutions within a global organisation

Google Cloud Data Engineer

NMI is looking for a passionate Intermediate Software Engineer to join our Gatew...

Location

United States

Salary:

Not provided

Parking Network B.V.

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science or equivalent experience
3+ years of experience developing complex applications
Professional experience developing applications in PHP
Strong understanding of object-oriented programming and design patterns
Experience with relational databases such as MySQL (schema design, query optimization)
Familiarity with secure coding principles and building software with security in mind
Experience with Git and CI/CD workflows
Experience contributing across the full software development lifecycle
Experience with modern frontend development (JavaScript, React, NPM, basic CSS)
Ability to work both independently and collaboratively

Job Responsibility

Design, build, and enhance features across multiple Gateway Portal applications used by NMI staff, partners, and merchants
Develop and maintain front-end and back-end functionality using technologies such as PHP, C#, JavaScript, React, and Angular
Develop and maintain MySQL queries aligned with best practices for performance and scalability
Write unit, integration, and end-to-end tests to ensure code quality and reliability
Document business logic, application workflows, and technical design decisions
Collaborate with Product Managers to refine requirements and contribute to technical solution design
Participate in code reviews to maintain high engineering standards and share best practices
Work with Site Reliability Engineering and QA teams to ensure software is observable, resilient, secure, and production-ready
Diagnose and resolve incidents, defects, and performance bottlenecks in collaboration with cross-functional teams
Contribute to continuous improvement of development processes, tooling, and engineering practices

What we offer

Annual salary + bonus
A remote first culture
Flex PTO
Health, Dental and Vision Insurance
13 Paid Holidays
Company volunteer days

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Cloud Engineer, Data Processing

Job Description

Job Responsibility

Requirements

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