Senior Data Engineer (Data Warehouse) Job at Plaud (Singapore)

Senior Data / Data Warehouse (DWH) Engineer

We are looking for a Senior Data / Data Warehouse Engineer to design and deliver...

Location

Czechia , Prague

Salary:

70000.00 - 80000.00 CZK / Year

Algoteque

Expiration Date

Until further notice

Requirements

Strong experience in data engineering and data warehouse development
Hands-on experience with ETL/ELT pipeline design and implementation
Proficiency in SQL and experience with PL/pgSQL stored procedures
Experience with DBT for data modeling and transformation
Experience building APIs or data access layers using FastAPI
Strong understanding of data modeling concepts for OLTP and OLAP systems
Experience implementing data quality checks, validation, and reconciliation processes
Familiarity with Agile methodologies and tools such as Jira
Strong communication skills and ability to collaborate with cross-functional and distributed teams

Job Responsibility

Own end-to-end data engineering and DWH delivery, from requirements and design to development, validation, and deployment
Design and maintain data models, data marts, and table structures for OLTP and OLAP reporting
Develop and maintain ETL/ELT pipelines and DBT-based transformation layers
Build automated data pipelines and FastAPI-based data access layers for application integration
Implement data validation, reconciliation, and quality checks using SQL
Optimize and maintain PL/pgSQL stored procedures for data processing
Collaborate with cross-functional and distributed teams to ensure timely and high-quality delivery
Work in an Agile environment using Jira and support demos or user training when needed

Fulltime

Senior Engineer, Data Warehouse

The Senior Engineer, Data Warehouse is responsible for designing, developing, te...

Location

United States , Miami

Salary:

Not provided

Carnival Cruises

Expiration Date

Until further notice

Requirements

Bachelor’s degree/Master’s degree preferred in Information Technology, Computer Science, or related field or equivalent work experience
5+ years Experience as a Software Engineer (Developer) required
5+ years Experience serving as technical resource throughout the full software development lifecycle, from conception, architecture definition, detailed design, scoping, planning, implementation, testing to documentation, delivery, and maintenance required
5+ years Experience in production support, troubleshooting complex issues, developing RCAs, and meeting SLAs required
5+ years Experience with compliance and security principles and developing secure applications that meet legal and organizational requirements. (i.e. PCI, SOX, PII, etc.)
5+ years Experience with monitoring and logging tools to report on application and infrastructure health required
5+ years Experience with DevOps and CI/CD required
5+ years Experience developing with role-based access control (RBAC), IAM (Identity and Access Management)
5+ years Experience developing and implementing of third-party APIs and library integrations
5+ years Experience with cloud platforms (AWS, Azure, or Google Cloud) and containerization

Job Responsibility

Software Development: Collaborate with team members and stakeholders to understand project goals, provide technical input, and ensure successful delivery
Participate in architectural design decisions to ensure scalability, performance, and reliability
Collaborate with Business Analyst and Software Architects to analyze user requirements and application design to create software while ensuring separate elements of the application works well in the larger program
Write, debug, and optimize code to implement software solutions based on technical and business requirements
Leverage best practices and industry standards to ensure quality code is developed according to specs and user requirements
Ensure solutions can be easily expanded with new feature sets and functionality on frameworks that are easily extendible
Create frameworks which promote ease of adoption, sharing, re-use, and interfacing with other application platforms
Develop unit tests, perform code reviews, and ensure the software meets quality standards
Provide ROM to development leads for planning purposes
Collaborates with Quality Engineer during all phases of testing to ensure defects /deficiencies are addressed

What we offer

Health Benefits: Cost-effective medical, dental and vision plans
Employee Assistance Program and other mental health resources
Additional programs include company paid term life insurance and disability coverage
Financial Benefits: 401(k) plan that includes a company match
Employee Stock Purchase plan
Paid Time Off
Holidays – All full-time and part-time with benefits employees receive days off for 8 company-wide holidays, plus 2 additional floating holidays to be taken at the employee’s discretion
Vacation Time – All full-time employees at the manager and below level start with 14 days/year
director and above level start with 19 days/year
Part-time with benefits employees receive time off based on the number of hours they work, with a minimum of 84 hours/year

Fulltime

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

Senior Data Engineer Lead / Architect - Senior Vice President

At Citi Services - Global Trade Technology Organization, we are on a mission to ...

Location

India , Pune, Maharashtra, India, Chennai, Tamil Nadu, India

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

10+ years of professional experience in data engineering, with a proven track record of designing and building large-scale data systems
3+ years in a technical leadership or architect role, with experience mentoring junior and senior engineers
Expert-level proficiency in at least one programming language (Python or Scala preferred) and exceptional SQL skills
Proven hands-on experience with Python or Scala for data manipulation, scripting, machine learning, and backend development
Deep, hands-on experience with a major cloud platform (AWS, GCP, or Azure) and its data ecosystem (e.g., S3/GCS, Redshift/BigQuery, EMR/Dataproc, Kinesis/Dataflow)
Extensive hands-on experience with modern big data technologies and Data streaming (like Hadoop, Hive, Impala, Apache Spark, Kafka, or Flink)
Proficiency with workflow orchestration tools such as Airflow, Dagster, or Prefect
Proficiency in designing and implementing microservices architectures, RESTful APIs, and event-driven systems with 'Data as a Product' Principle
Solid understanding of data modeling concepts and database design for both analytical (OLAP) and transactional (OLTP) workloads
Deep understanding and hands-on experience with relational databases (e.g., PostgreSQL, Oracle), NoSQL databases (e.g., MongoDB, Cassandra), data warehousing, and big data technologies (e.g., Spark, Kafka)

Job Responsibility

Architect & Design: Design, architect, and oversee the development of robust, scalable, and reliable data infrastructure, including data lakes, data warehouses, and real-time streaming platforms on the cloud
Build & Code: Act as a senior individual contributor and hands-on technical leader. Write clean, maintainable, and high-performance code for data ingestion, transformation, and serving layers (e.g., using Python, Scala, SQL, and Spark)
Lead & Mentor: Lead a team of data engineers, providing technical guidance, mentorship, and career development support. Foster a collaborative and inclusive team environment
Champion Culture: Define, document, and champion data engineering best practices across the organization, including CI/CD, data quality, testing frameworks, observability, and code review standards
Drive Strategy: Partner with leadership, product managers, data scientists, and analysts to understand data needs and develop a long-term data strategy and roadmap
Innovate & Evaluate: Stay at the forefront of data engineering technologies. Evaluate, prototype, and recommend new tools and frameworks to continuously improve our data platform
Ensure Governance: Implement and enforce robust data governance, security, and privacy policies in partnership with our security and compliance teams

Fulltime