Data Specialist

Key Skills

Java Programming, SAP, Python Programming, C++, Database, Salesforce, SQL, Agile methodologies, Azure, AWS, Big Data Technology, Apache Kafka, Scala Programming, Data science techniques, Apache Cassandra, NoSQL, Snowflake, Apache Airflow, Data Modelling, Shell Scripting language, SPARK Programming, Storm, Databricks, Data Engineering, Data pipelines, Luigi, Azkaban

Job Description

• We are looking for a savvy Data specialist to join our growing Data Analytics and Business Intelligence local practice team.
• The Date Engineer will be responsible for expanding and optimizing our client’s data and data pipeline architecture, as well as optimizing data flow and collection from a variety of sources for cross-functional teams.
• The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.
• The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.
• They ensure that data is ready for use in digital products, data science, reporting, and analytics. They will design and maintain data warehouses and data marts, and structure volumes of data.
• They must be self-directed and comfortable supporting the data needs of multiple teams and systems.

Your future duties 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 extraction, transformation, and loading of data from a wide variety of data sources using SQL and cloud-based ‘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 cloud providers regions..
• Improve data availability, acting as a liaison between source systems and Data Science and BI teams
• Collect, blend, and transform data using ETL tools, database management systems, and code including SQL and Python
• Perform aggregation on data across various warehousing models, such as OLAP cubes and star schemas for BI purposes

Required qualifications to be successful in this role:

• 2-5 years of experience in a Data Engineer role
• Computer Science, Statistics, Informatics, Information Systems degree or equivalent education and experience.
• Advanced working SQL knowledge and experience working with relational databases.
• Experience building and optimizing ‘big data’ data pipelines.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytics skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Strong proficiency in Python (especially data science packages like pandas, numpy etc) and SQL for analytics, database development, and data modelling
• Working knowledge of message queuing, stream processing and highly scalable ‘big data’ data stores.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Should also have experience using the following software/tools:
• Experience with big data tools: Python, Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including Postgres, Cassandra and Snowflake.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS, MS Azure, Google cloud services, DataBricks
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
• Fluency in French and English, oral and written
• Strong understanding of Agile methodologies and experience on an agile team
• Keen collaborator and clear communicator, responsive to service needs and operational demands
• Passionate about the impact of emerging technologies and learning new skills and ideas

Optional:

• Experience with ERP and CRM environments and data: SAP, SalesForce, PeopleSoft, MS Dynamics, etc.

Skills:

• ETL
• Python
• SQL