experience, preferably in a financial background as a Data Engineer.
Education: Bachelors
Accountabilities:
a skilled Data Architect to join our team and take ownership of our organization's data architecture and managing complex data systems. They will work closely with our engineering, data science, and business understand requirements, design solutions, and ensure our data infrastructure meets our evolving needs.
Key
Design Data Architecture: Develop and maintain an optimal data architecture blueprint
Data Modeling: Design and implement logical and physical data models that translate
Microsoft SQL Server, SSIS, SSAS, Power BI, Azure Data Factory, Azure Fabric, and TimeXTender.
**Attention Data Wizards!**
**What You'll Do:**
-
/>- Build and maintain Big Data Pipelines like a boss ?
- Work your magic with Terraform, Python
your AWS expertise to the table and level up our data game ??
**What You'll Need:**
- A passion for data, a love for collaboration, and a sprinkle of tech
development ??
Ready to embark on your data adventure? Apply now and let's create something
search for an AWS Data Engineer that plays a crucial role in building and maintaining the data infrastructure effectively and securely manage and analyze their data. Continuous learning and adaptation to evolving Py Spark · Boto3; ETL · Docker; Linux / Unix; Big Data; Powershell / Bash · Basic experience/understanding expertise in data modelling Oracle SQL · Exceptional analytical skills analysing large and complex data sets Perform thorough testing and data validation to ensure the accuracy of data transformations · Strong written
A fantastic opportunity for an AWS Data Engineer to join a team of specialists developing the next generation performing thorough testing and data validation to ensure the accuracy of data transformations. Core understanding Oracle/PostgreSQL Py Spark Boto3 ETL Docker Linux / Unix Big Data Powershell / Bash Experience in working with Enterprise Knowledge of data formats such as Parquet, AVRO, JSON, XML, CSV etc. Experience working with Data Quality
and automating processes, building scorecards, and data mining.
DUTIES
Statistics / Actuarial Science / BMI
Senior Analyst in Data and Analytics with 3 years of developing and managing data products from ingestion ingestion to operations as well as experience supporting data analytics solutions. Must have 3 years experience using Azure platform for Data and Analytics products specially focused in Data Services : CosmosDB, DynamoDB managing data products from ingestion to operations. 3 years of experience supporting data analytics analytics solutions. 3 years of experience in data storytelling and data visualization using tools like PowerBI
What you'll be doing if you get the job: As a Data Analyst at you will be responsible for collecting collecting, analyzing, and interpreting complex data sets to provide valuable insights and support strategic decision-making ICT. Your knowledge: • Data Collection and Processing: Gather and consolidate data from multiple sources validate, and preprocess data to ensure accuracy, completeness, and consistency. • Data Analysis and Visualization: Visualization: Utilize statistical techniques and data mining algorithms to analyse large datasets and extract
Senior Analyst in Data and Analytics with 3 years of developing and managing data products from ingestion ingestion to operations as well as experience supporting data analytics solutions. Must have 3 years experience using Azure platform for Data and Analytics products specially focused in Data Services : CosmosDB, DynamoDB managing data products from ingestion to operations. 3 years of experience supporting data analytics analytics solutions. 3 years of experience in data storytelling and data visualization using tools like PowerBI