Job Description :
Applies techniques such as business intelligence (BI), reporting and data modelling, analytical techniques and big data processing to provide the business with relevant information to increase revenues, improve operational efficiency, optimize customer programs, respond quickly to emerging market trends and gain a competitive edge in the market.
Provides operational and functional support to the business on creating, storing, managing and maintaining information in all its forms, including the ability to incorporate policies and procedures for centrally managing and sharing information among different individuals, organisations and information systems throughout the information life cycle.
We are looking for a candidate with 8+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
They should also have experience using the following software / tools :
Experience with Azure : ADF, ADLS, Databricks, PySpark, Spark SQL, Stream Analytics, SQL DW, COSMOS DB, Analysis Services, Azure Functions, Serverless Architecture, ARM Templates.
Experience with relational SQL / NoSQL databases, file handlings and API integrations
Experience with object-oriented / object function scripting languages : Python, SQL, Scala, Spark-SQL etc.
Nice to have experience with any of these toolset like Kafka, Stream sets, Alteryx, HANA, SLT and BODSRoles and Responsibilities :
Create and maintain optimal data pipeline architecture.
Assemble large, complex data sets that meet functional / non-functional business requirements.
Identify, design, and implement internal process improvements : automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build the infrastructure required for optimal ETL / ELT of data from a wide variety of data sources using SQL and Azure, AWS big data’ technologies.
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other KPI metrics.
Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
Keep our data separated and secure across national boundaries through multiple data centres and Azure, AWS regions.
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
Work with data and analytics experts to strive for greater functionality in our data systems.
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
Experience building and optimizing data pipelines using ADF
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
Strong analytic skills related to working with structured and unstructured datasets
Build processes supporting data transformation, data structures, metadata, dependency and workload management.
A successful history of transforming, processing and extracting value from large disconnected datasets
Strong team player with organizational and communication skills
Experience supporting and working with cross-functional teams in a dynamic environment