Junior Data Engineer Job at Amaris Consulting (Bangkok)

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

Junior Data Infrastructure Engineer

As part of the Data Infrastructure team you will be supporting mission critical ...

Location

United Kingdom , Brighton

Salary:

Not provided

Brandwatch

Expiration Date

Until further notice

Requirements

An interest in how computer infrastructure actually works, and a passion for learning
Interest, and ideally production experience, running storage systems, eg. as part of a selfhosted service, a home lab or as part of academic studies
Experience with Linux systems administration, including experience of trouble shooting
Fluency with one or more scripting languages, ideally Bash or Python
Experience helping your peers
Pride in the quality of your work

Job Responsibility

Supporting mission critical big data platforms, to ensure they are fully performant, reliable, available and secure
Development of tooling and operational support for our platforms
Help with staging support
Join the team supporting the production systems
Take a full part in the life of the team
Start designing the infrastructure we run

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

Junior Data Scientist / Machine Learning Engineer

As a Junior Data Scientist / Machine Learning Engineer at Red Hibbert Group, you...

Location

United States

Salary:

25.00 USD / Hour

Red Hibbert Group

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or a related field
Strong programming skills in Python and proficiency with machine learning frameworks (TensorFlow, PyTorch, scikit-learn)
Solid experience with data manipulation libraries (Pandas, NumPy) and data visualization tools (Matplotlib, Seaborn)
Strong understanding of statistical analysis and machine learning concepts
0-2 years of experience in machine learning, deep learning, or data science
Excellent analytical and problem-solving skills with strong communication abilities are required

Job Responsibility

Developing and implementing machine learning models
Conducting data analysis
Collaborating with cross-functional teams
Working on cutting-edge AI/ML projects, focusing on data preprocessing, feature engineering, model development, and evaluation
Developing AI-driven solutions for our clients
Conducting research to improve existing ML systems
Working closely with senior team members to deliver high-quality solutions

Data Architect / Engineer

The Data Architect – Engineer will shape the future of the telecommunications in...

Location

France

Salary:

Not provided

NETWORK SOLUTIONS FACTORY

Expiration Date

Until further notice

Requirements

3+ years of experience as a Data Architect, Data Engineer, or similar role in large-scale data environments
Expertise in data modeling, metadata management, and data governance
Experience with ETL/ELT frameworks and data pipeline orchestration
Solid SQL skills and experience with databases and distributed architectures
Professional working English

Job Responsibility

Define data standards, governance policies, naming conventions, and documentation practices
Build scalable data pipelines and lakehouse solutions
Develop and optimize data models for analytics, reporting, and artificial intelligence / machine learning.
Optimize data architectures for performance, cost-efficiency, and reliability
Evaluate and recommend data platforms, storage technologies, and integration patterns
Collaborate with analytics and business teams to understand data needs and translate them into architectural designs
Provide technical leadership on data projects and mentor junior team members

What we offer

Remote work (with a compensatory allowance) up to 3 days a week
Profit-sharing and employee savings plan
Annual vacation bonus
Meal vouchers subsidized at 59,89% by NetSF, up to €11
Family health insurance, subsidized at 75% by NetSF
Provision of additional health insurance
A friendly work atmosphere: monthly breakfast, internal newsletter, fruit basket, free coffee and tea, etc…
Transport allowance and sustainable mobility package
International work environment

Fulltime

Lead Data Engineer

As a Lead Data Engineer at Rearc, you'll play a pivotal role in establishing and...

Location

India , Bengaluru

Salary:

Not provided

Rearc

Expiration Date

Until further notice

Requirements

10+ years of experience in data engineering, data architecture, or related fields
Extensive experience in writing and testing Java and/or Python
Proven experience with data pipeline orchestration using platforms such as Airflow, Databricks, DBT or AWS Glue
Hands-on experience with data analysis tools and libraries like Pyspark, NumPy, Pandas, or Dask
Proficiency with Spark and Databricks is highly desirable
Proven track record of leading complex data engineering projects, including designing and implementing scalable data solutions
Hands-on experience with ETL processes, data warehousing, and data modeling tools
In-depth knowledge of data integration tools and best practices
Strong understanding of cloud-based data services and technologies (e.g., AWS Redshift, Azure Synapse Analytics, Google BigQuery)
Strong strategic and analytical skills

Job Responsibility

Understand Requirements and Challenges: Collaborate with stakeholders to deeply understand their data requirements and challenges
Implement with a DataOps Mindset: Embrace a DataOps mindset and utilize modern data engineering tools and frameworks, such as Apache Airflow, Apache Spark, or similar, to build scalable and efficient data pipelines and architectures
Lead Data Engineering Projects: Take the lead in managing and executing data engineering projects, providing technical guidance and oversight to ensure successful project delivery
Mentor Data Engineers: Share your extensive knowledge and experience in data engineering with junior team members, guiding and mentoring them to foster their growth and development in the field
Promote Knowledge Sharing: Contribute to our knowledge base by writing technical blogs and articles, promoting best practices in data engineering, and contributing to a culture of continuous learning and innovation

Senior Data Engineer

We are looking for a highly skilled Senior Data Engineer to lead the design and ...

Location

United Kingdom

Salary:

45000.00 - 60000.00 GBP / Year

Activate Group Limited

Expiration Date

Until further notice

Requirements

Proven experience as a Senior Data Engineer, BI/Data Warehouse Engineer, or similar
Strong hands-on expertise with Microsoft Fabric and related services
End-to-end DWH development experience, from ingestion to modelling and consumption
Strong background in data modelling, including star schema, dimensional modelling and semantic modelling
Experience with orchestration, monitoring and optimisation of data pipelines
Proficiency in SQL and strong understanding of database principles
Ability to design scalable data architectures aligned to business needs

Job Responsibility

Lead the design, architecture and build of a new enterprise data warehouse on Microsoft Fabric
Develop robust data pipelines, orchestration processes and monitoring frameworks using Fabric components (Data Factory, Data Engineering, Lakehouse)
Create scalable and high-quality data models to support analytics, Power BI reporting and self-service data consumption
Establish and enforce data governance, documentation and best practices across the data ecosystem
Collaborate with cross-functional teams to understand data needs and translate them into technical solutions
Provide technical leadership, mentoring and guidance to junior team members where required

What we offer

33 days holiday (including bank holidays)
Personal health cash plan – claim back the cost of things like dentist and optical check ups
Enhanced maternity / paternity / adoption / shared parental pay
Life assurance: three times basic salary
Free breakfasts and fruit
Birthday surprise for everybody

Fulltime

Data Engineer

The Finance Data Engineering team focuses on empowering data-informed decisions ...

Location

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

A BS in Computer Science or equivalent experience
At least 5+ years professional experience as a Software Engineer or Data Engineer
Strong programming skills (Python, Java or Scala preferred)
Experience writing SQL, structuring data, and data storage practices
Experience with data modeling
Knowledge of data warehousing concepts
Experience building data pipelines, platforms
Experience with Databricks, Spark, Hive, Airflow and other streaming technologies to process incredible volumes of streaming data
Experience in modern software development practices (Agile, TDD, CICD)
Strong focus on data quality and experience with internal/external tools/frameworks to automatically detect data issues, anomalies.

Job Responsibility

Partner with Product Managers, Engineering, analytics, and business teams to review and gather the data/reporting/analytics requirements and build trusted and scalable data models, data extraction processes, and data applications to help answer complex questions.
Design and implement data pipelines to ETL data from multiple sources into a central data warehouse.
Improve data quality by using and improving internal tools/frameworks to automatically detect DQ issues.
Develop and implement data governance procedures to ensure data security, privacy, and compliance.
Implement new technologies to improve data processing and analysis.
Coach junior data engineers to improve their skills.

What we offer

Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more.

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