یہ کمپنی اب اس نوکری کیلیۓ مزید سی ویزنہیں لے رہی۔

Data Engineer (ERP Systems)

Cloudelligent

اسلام آباد ، پاکستان

درخواست بھیجیں

نومبر ۲۷, ۲۰۱۹ شائع ہوئی 3 نے دیکھا

Basic Qualifications

· Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.

· Fluency in English Language

· 5 years of experience in a Data Engineer role

· Experience of Working on ERP Systems

· Experience with big data tools: Hadoop, Spark, Kafka, etc.

· Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.

· Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.

· Experience with AWS cloud services: EC2, EMR, RDS, Redshift

· Experience with stream-processing systems: Storm, Spark-Streaming, etc.

· Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

Job 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 extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.

· Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance 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 data separated and secure across national boundaries through multiple data centers and 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.