Senior Cloud Engineer, Data Processing Job at Aptiv plc (Chennai)

Senior Google Cloud Data Engineer

We are seeking a Senior Google Cloud Data Engineer with a strong background in d...

Location

United States , New York City

Salary:

170000.00 - 240000.00 USD / Year

Valtech

Expiration Date

Until further notice

Requirements

Candidates must be legally authorized to work in the United States and must hold either U.S. citizenship or lawful permanent resident (Green Card) status.
Strong expertise in Python - for building data pipelines, processing tasks, and automation
SQL - Advanced SQL capabilities (nested fields, analytic functions)
Hands-on experience with Core GCP Data Stack: BigQuery: Expert-level SQL, performance tuning, and specifically BigQuery ML (BQML) for implementing logistic regression or k-means clustering on data in-place
Dataflow (Apache Beam): Strong proficiency in writing data pipelines (Python or Java) handling windowing, watermarks, and triggers for streaming data
Pub/Sub: Experience with event-driven architecture and message queuing
Hands-on experience with Visualization & BI: Looker Core – Advanced proficiency in LookML (not just drag-and-drop), including derived tables, explores, and Liquid syntax
Semantic Modeling: Develop robust LookML models to create a trusted layer of data governance, ensuring metrics are consistent across the organization
Dashboard Creation: Design intuitive, high-impact dashboards in Looker for two distinct audiences: Operational teams (real-time threat monitoring) and Executives (risk posture and compliance reporting
Familiarity with Alerting Frameworks

Job Responsibility

Drive projects independently, ensuring timely delivery and high-quality outcomes
Lead and execute projects related to cybersecurity, including anomaly detection in data to identify potential security threats
Develop dashboards and visuals for operational and executive use, leveraging Looker Core and BigQuery
Implement alerting systems to proactively detect anomalies and security issues
Design and implement data ingestion and transformation pipelines leveraging Google Cloud Dataflow / Apache Beam and BigQuery for analytics and large-scale querying
Implement Machine Learning models (specifically leveraging BigQuery ML or Vertex AI) to identify statistical outliers, potential intrusions, and fraudulent patterns in network traffic
Build fault-tolerant, self-healing, adaptive, and highly accurate streaming and batch data pipelines on GCP
Perform data manipulation and analysis to support threat detection and reporting
Collaborate closely with cross-functional teams to ensure data quality, availability, and reliability across cloud environments
Develop and maintain technical documentation for all assigned systems and projects

What we offer

Flexibility, with remote and hybrid work options (country-dependent)
Career advancement, with international mobility and professional development programs
Learning and development, with access to cutting-edge tools, training and industry experts
Medical, dental, and vision insurance for you and your family, plus employer contributions to Health Savings Accounts

Fulltime

Senior Google Cloud Data Engineer

We are seeking a Senior Data Engineer with a strong background in data engineeri...

Location

Canada

Salary:

90000.00 - 140000.00 CAD / Year

Valtech

Expiration Date

Until further notice

Requirements

Strong expertise in Python for building data pipelines, processing tasks, and automation
Advanced SQL capabilities (nested fields, analytic functions)
Hands-on experience with Core GCP Data Stack: BigQuery, Dataflow (Apache Beam)
Strong proficiency in building reliable batch and incremental pipelines for GA4/Google Ads data into BigQuery
Experience with Pub/Sub: event-driven architecture and message queuing
Hands-on experience with Visualization & BI: Looker Core – Advanced proficiency in LookML
Ability to independently own workstreams while collaborating closely with data science, analytics, and engineering peers in agile delivery
Advanced English skills

Job Responsibility

Demonstrate deep knowledge of the data engineering domain to build and support non-interactive (batch, distributed) & real-time, highly available data pipelines
Build fault-tolerant, self-healing, adaptive, and highly accurate data computational pipelines
Provide consultation and lead the implementation of complex programs
Develop and maintain documentation relating to all assigned systems and projects
Tune queries running over billions of rows of data running in a distributed query engine
Perform root cause analysis to identify permanent resolutions to software or business process issues
Implement and maintain dbt transformation models, CI pipelines, and data contracts for curated campaign, ad group, keyword, audience, and landing-page marts
Build and monitor data quality gates (Great Expectations and reconciliation checks) and freshness SLOs
Optimize BigQuery cost and performance using query tuning, storage design, and reservation strategy
Implement platform hardening controls including retries, dead-letter queues, DR runbooks, and support for VPC-SC and DLP validation

What we offer

A comprehensive insurance plan
Dialogue via Sun Life provides virtual healthcare services
Access to the Employee and Family Assistance Program
A complete mental health support program
A $500 Personal Spending Account
A retirement plan where Valtech will match 100% of your RRSP contributions through a Deferred Profit Sharing Plan (DPSP), up to a maximum of 4%
Access to a flexible vacation under Valtech's policy
Personal Technology Reimbursement – $30/month
We close during the winter holidays and offer flexible scheduling throughout the year

Fulltime

Senior Google Cloud Data Engineer

We are seeking a Senior Data Engineer with a strong background in data engineeri...

Location

Brazil

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Strong expertise in Python for building data pipelines, processing tasks, and automation
Advanced SQL capabilities (nested fields, analytic functions)
Hands-on experience with Core GCP Data Stack: BigQuery (expert-level SQL, performance tuning, partitioning and clustering strategy, production-grade curated marts and feature tables, working knowledge of BQML)
Dataflow (Apache Beam)
Strong proficiency in building reliable batch and incremental pipelines for GA4/Google Ads data into BigQuery, with streaming patterns
Pub/Sub: Experience with event-driven architecture and message queuing
Hands-on experience with Visualization & BI: Looker Core – Advanced proficiency in LookML (derived tables, explores, Liquid syntax)
Semantic Modeling: Develop robust LookML models
Dashboard Creation: Design intuitive dashboards in Looker for operational teams and executives
Ability to independently own workstreams while collaborating closely with data science, analytics, and engineering peers in agile delivery

Job Responsibility

Demonstrate deep knowledge of the data engineering domain to build and support non-interactive (batch, distributed) & real-time, highly available data pipelines
Build fault-tolerant, self-healing, adaptive, and highly accurate data computational pipelines
Provide consultation and lead the implementation of complex programs
Develop and maintain documentation relating to all assigned systems and projects
Tune queries running over billions of rows of data running in a distributed query engine
Perform root cause analysis to identify permanent resolutions to software or business process issues
Implement and maintain dbt transformation models, CI pipelines, and data contracts for curated campaign, ad group, keyword, audience, and landing-page marts
Build and monitor data quality gates (Great Expectations and reconciliation checks) and freshness SLOs
Optimize BigQuery cost and performance using query tuning, storage design, and reservation strategy
Implement platform hardening controls including retries, dead-letter queues, DR runbooks, and support for VPC-SC and DLP validation

What we offer

Growth opportunities
A values-driven culture
International careers
The chance to shape the future of experience
An environment designed for continuous learning, meaningful impact, and professional growth
A workplace culture that fosters creativity, diversity and autonomy
A borderless, global framework, which enables seamless collaboration

Senior Data Engineer - Data Platform

We are looking for a Senior Data Engineer - Data Platform to join our Data & AI ...

Location

France , Paris

Salary:

Not provided

Doctolib

Expiration Date

Until further notice

Requirements

More than 7 years of experience as Site Reliability Engineer, Data Ops, Data Platform Engineer or in a similar role, with a proven track record of building and maintaining complex data infrastructures
Strong proficiency in data engineering and infrastructure tools and technologies, such as stream and events processing (Kafka, PubSub, Firehose) and Kubernetes
Expertise in programming languages like Python
Familiar with cloud infrastructure and services, preferably AWS, Azure, or GCP, and have experience with infrastructure-as-code tools such as Terraform
Excellent problem-solving skills with a focus on identifying and resolving data infrastructure bottlenecks and performance issues

Job Responsibility

Design and implement a scalable and reliable data infrastructure that supports the collection, processing, storage, and analysis of large-scale datasets while pushing security and privacy best practices
Build and maintain data pipelines that efficiently extract, transform, and load data from various sources into our data warehouse
Implement automation and orchestration tools to streamline infrastructure provisioning, data workflows, reduce manual effort, and improve operational efficiency
Monitor data platform for performance and reliability, identify and troubleshoot issues, and implement proactive solutions to ensure data quality and availability
Streamline and monitor platform costs, identify optimizations and saving opportunities while collaborating with data engineers, data scientists, and other stakeholders

What we offer

Free comprehensive health insurance for you and your children
Parent Care Program: receive one additional month of leave on top of the legal parental leave
Free mental health and coaching services through our partner Moka.care
For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
Work from EU countries and the UK for up to 10 days per year, thanks to our flexibility days policy
Up to 14 days of RTT
A subsidy from the work council to refund part of the membership to a sport club or a creative class
Lunch voucher with Swile card

Fulltime

Software Developer - Senior / Senior Data Engineer

Imagine being at the forefront of protecting financial integrity and enabling cr...

Location

United States , Southlake, TX or Austin, TX

Salary:

55.92 - 62.13 USD / Hour

Aquent

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field
8+ years of hands-on experience in data management, including gathering data from diverse sources, consolidating it into centralized locations, and transforming it with business logic for consumption in visualization and data analysis
Strong expertise in BigQuery, Cloud Storage, Dataflow, Pub/Sub, Cloud Composer, and related cloud platform services
Proficiency in Python and SQL for data processing and automation
Extensive experience with ETL processes and data pipeline design
Excellent problem-solving skills and meticulous attention to detail
Strong communication and collaboration skills, with the ability to actively listen, dialogue freely, and verbalize ideas effectively
Ability to thrive in an Agile work environment, delivering incremental value to customers by effectively managing and prioritizing tasks

Job Responsibility

Design, build, and maintain robust and scalable data pipelines using cloud platform tools such as BigQuery, Cloud Storage, Dataflow (Apache Beam), Cloud Composer (Airflow), and Pub/Sub
Develop high-performance, production-grade Python and SQL code, optimizing queries for efficient data extraction, transformation, and loading (ETL) processes
Implement complex data models in BigQuery, leveraging partitioning, clustering, and materialized views to achieve optimal performance
Collaborate closely with cross-functional teams, including business customers and Subject Matter Experts, to gather data requirements and deliver impactful solutions
Implement and uphold best practices for data quality, data governance, and data security
Proactively monitor and troubleshoot data pipeline issues, ensuring high availability and performance of critical data flows
Contribute to strategic data architecture decisions, providing recommendations for continuous improvement of data pipelines
Stay current with emerging trends and technologies in cloud-based data engineering and cyber security to drive innovation
Lead investigation and resolution efforts for identified data issues, taking ownership to resolve them in a timely manner
Document processes and procedures thoroughly for producing accurate metrics and ensuring operational clarity

What we offer

subsidized health, vision, and dental plans
paid sick leave
retirement plans with a match

Senior Data Entitlements Engineer - Market Data Platform

Join us as a Senior Data Entitlements Engineer - Market Data Platform at Barclay...

Location

Czechia , Prague

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Expert-level experience designing and implementing entitlement and license governance frameworks for data platforms, including defining policies, rules, and workflows that control access to sensitive market data at scale
Expertise and hands-on experience with entitlements engines and access-control models (RBAC, ABAC, ...), with a proven track record of building or configuring fine-grained permission structures in production environments
Demonstrated experience implementing and managing entitlements across multiple analytics and data platforms — specifically AWS (IAM, Lake Formation), Snowflake, Databricks, and/or KDB — understanding platform-specific security models and how to harmonise them under a unified governance layer
Strong AWS cloud experience, including identity federation, and security services relevant to data access and governance

Job Responsibility

Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data
Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures
Development of processing and analysis algorithms fit for the intended data complexity and volumes
Collaboration with data scientist to build and deploy machine learning models

What we offer

Competitive holiday allowance
Life assurance
Private medical care
Pension contribution

Fulltime

Senior Staff Engineer – Cybersecurity Data Protection Engineer

GEICO’s Cybersecurity organization has an exciting opportunity for an accomplish...

Location

United States , Chevy Chase; Palo Alto; Seattle

Salary:

115000.00 - 260000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

Proven experience with data discovery, classification, handling, access, inventory, and retention
Proven experience with data protection technologies, such as encryption, tokenization and data loss prevention tools
Familiar with programming languages such as Python, Java, or .NET
Experience with designing and implementing data security solutions for enterprise environments
Experience in managing and supervising other Data Protection Engineers
Experience in developing and managing data protection programs focused on data discovery, data inventory, data risk assessments, and encryption for both structured and unstructured data
Strong knowledge of cybersecurity laws, regulations, and best practices
Knowledge of data security frameworks, standards, and protocols
Strong understanding of data privacy laws and regulations (i.e. NYDFS, PCI, etc.)
Strong analytical and problem-solving skills

Job Responsibility

Develop and Implement data protection strategies and initiatives, including classification and handling, data access controls, inventory, encryption, and retention
Work closely with other stakeholders to enforce data protection related policy and respond to regulatory requirements
Develop and maintain data security policies, procedures, standards, and ensure that they are followed by the entire organization
Create and maintain data inventories and data flows, and manage data sharing controls
Drive the design and implementation of data access controls, ensuring only authorized access to sensitive data
CO-develop and implement data retention policy and procedures, ensure compliance with internal policy and external regulations
Enforce data encryption standards and strategies to secure data at rest and in transit
Lead incident response efforts related to data breach and work with stakeholders to mitigate impact
Lead and conduct regular data risk assessments to identify potential vulnerabilities and threats to the organization's data and information systems
Stay abreast of new developments in the field of cybersecurity and ensure that the organization's risk assessment and data security processes are aligned with industry standards and best practices

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Senior Cloud Solution Architect - Cloud & AI Data Platform

We are looking for a Senior Cloud Solution Architect – Cloud & AI Data Platform ...

Location

United States , Multiple Locations

Salary:

106400.00 - 251900.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 4+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR equivalent experience
This position is not eligible for visa sponsorship. Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship.

Job Responsibility

Operates according to required operational excellence and proven practice standards throughout all sales stages/activities/tools of record (e.g., pipeline updates, time tracking)
Collaborates across Microsoft and customer/partner teams through on-strategy delivery to achieve customer/partner objectives and increase customer/partner satisfaction
Proactively manages business and technical risks, adapts methodology and applies governance principles to identify, communicate, and minimize business and technical risks
Executes work in compliance with industry and Microsoft guidelines and procedures
Continuously prioritizes among competing demands in their work and identifies where impact occurs with customers, ensuring alignment with business priorities and goals
Delivers solutions in line with company methodologies (e.g., product offerings such as value-based deliverables [VBDs], advice, training, technical validation), ensuring proven practices and patterns are followed to prepare customers for operational readiness and achievement of their business goals and targets
Leveraging knowledge of change management proven practices and/or involving the change management team, proactively helps the customer deploy for long-term organizational adoption to increase customer satisfaction and drive consumption/usage
Guides customers/partners towards a well-architected (e.g., secure, resilient, artificial intelligence [AI]-enabled), and cost- and performance-optimized solution to increase retention and expansion opportunities
Provides feedback to Unified Delivery Team on VBDs to refine and further develop content
Proactively identifies new opportunities for Consumption, Usage & Unified expansion (especially Enhanced Solutions) at scale based on business value to customer/partner and clear understanding of the Microsoft value proposition for supported platforms to empower cloud success, foster and strengthen security and resiliency, and drive AI innovation

What we offer

Certain roles may be eligible for benefits and other compensation.

Fulltime

Select Country

Senior Cloud Engineer, Data Processing

Job Description

Job Responsibility

Requirements

What we offer

Looking for more opportunities?