Data analyst and Data Science engineers in the Sri Lanka.

Data Analyst.

Data Analysts are experienced data professionals in their organization who can query and process data, provide reports, summarize, and visualize data.

They have a strong understanding of how to leverage existing tools
And methods to solve a problem and help people from across the company understand specific queries with ad-hoc reports and charts.

Key Skills and responsibilities.

Data Analysts need to have a baseline understanding of some core skills: statistics, data munging, data visualization, exploratory data analysis,
Tools: Microsoft Excel, SPSS Modeler, SAS, SAS Miner, SQL, Microsoft Access, Tableau, SSAS.

Data engineers build and maintain the systems that allow data scientists to access and interpret data.

The role generally involves creating data models, building data pipelines, and overseeing ETL (extract, transform, load).
Data scientists build and train predictive models using data after cleaning.

Key Responsible of the Data Engineers in the Sri Lanka.

Gather requirements, assess gaps, and build roadmaps and architectures.
Work closely with Data Analysts to ensure data quality and availability for analytical modelling.
learn how to explore suitable options, design, and create data pipelines for specific analytical solutions.
Support maintenance, bug fixing and performance analysis along data pipeline.
Knowledge of machine learning and deep learning algorithms.
Solid understanding of data structures and algorithms, no-SQL databases etc.
Has DevOps tooling user skillset in using Jira/Confluence, GIT and a CICD tool.
Design, develop and implement Big Data platforms using Cloud architecture.

Collaborate with technical teams to develop and maintain a flexible framework

Interact with the Business divisions to understand all data requirements to develop business insights for Octave

and translate them into data structures and data model requirements

Create and maintain vendor relationships to stay abreast with latest big data technology and solutions.

Desired Skills / Competencies for the Data Engineers in the Sri Lanka.

Education + Technical skills / experience

Experience in building real-time processing pipelines using Spark-streaming or Flank

Skills for senior data engineer.

Master’s degree in Computer Science, Engineering, Mathematics or Statistics

10+ years of experience with the tech stack required for analytics and enterprise systems

Expertise in developing applications in a high volume ETL environment and proficiency in advanced SQL skills; master data management.