Data Engineer

We are looking for a Data Engineer! Reach out if you are interested and feel free to refer friends/colleagues!

Type of Employment: Contact
Title: Data Engineer
Term: 12-month – 37.5 hours/week
Location: Mississauga – Hybrid 3 days on-site minimum and 2-days remote
Job ID number: C1115

Brief description of duties:

As a member of the Network Big Data team, reporting to the Network Big Data CoE Manager, the Big Data DevOps will play a leading role in the development of new products, capabilities, and standardized practices using Big Data technologies. Working closely with our business partners, this person will be part of a team that advocates the use of Big Data technologies to solve business problems, and be a thought-partner in the Big Data space.

Primary Responsibilities:

• Participate in all aspects of Big Data solution delivery life cycle including analysis, design, development, testing, production deployment, and support
• Develop standardized practices for delivering new products and capabilities using Big Data technologies, including data acquisition, transformation, and analysis
• Ensure Big Data practices integrate into overall data architectures and data management principles (e.g. data governance, data security, metadata, data quality)
• Create formal written deliverables and other documentation, and ensure designs, code, and documentation are aligned with enterprise direction, principles, and standards
• Train and mentor teams in the use of the fundamental components in the Hadoop stack
• Assist in the development of comprehensive and strategic business cases used at management and executive levels for funding and scoping decisions on Big Data solutions
• Troubleshoot production issues within the Hadoop environment
• Performance tuning of a Hadoop processes and applications
• Proven experience as a Hadoop Developer/Analyst in Business Intelligence
• Strong communication, technology awareness and capability to interact work with senior technology leaders is a must
• Good knowledge on Agile Methodology and the Scrum process
• Delivery of high-quality work, on time and with little supervision
• Critical Thinking/Analytic abilities

Must-have

• Bachelor in Computer Science, Management Information Systems, or Computer Information Systems is required.
• Minimum of 4 years of Building Java apps
• Minimum of 2 years of building and coding applications using Hadoop components –  HDFS, Hive, Impala, Sqoop, Flume, Kafka, StreamSets, HBase, etc.
• Minimum of 2 years of coding  Scala / Spark, Spark Streaming, Java, Python, HiveQL
• Minimum 4 years understanding of traditional ETL tools & Data Warehousing architecture.
• Strong personal leadership and collaborative skills, combined with comprehensive, practical experience and knowledge in end-to-end delivery of Big Data solutions.
• Experience in Exadata and other RDBMS is a plus.
• Must be proficient in SQL/HiveQL
• Hands on expertise in Linux/Unix and scripting skills are required.

Nice-to-have

• Strong in-memory database and Apache Hadoop distribution knowledge (e.g. HDFS, MapReduce, Hive, Pig, Flume, Oozie, Spark)
• Past experience using Maven, Git, Jenkins, Se, Ansible or other continuous integration tools is a plus
• Proficiency with SQL, NoSQL, relational database design and methods
• Deep understanding of techniques used in creating and serving schemas at the time of consumption
• Identify requirements to apply design patterns like self-documenting data vs. schema-on-read.
• Played a leading role in the delivery of multiple end-to-end projects using Hadoop as the data platform.
• Successful track record in solution development and growing technology partnerships
• Ability to clearly communicate complex technical ideas, regardless of the technical capacity of the audience.
• Strong inter-personal and communication skills including written, verbal, and technology illustrations.
• Experience working with multiple clients and projects at a time.
• Knowledge of predictive analytics techniques (e.g. predictive modeling, statistical programming, machine learning, data mining, data visualization).
• Familiarity with different development methodologies (e.g. waterfall, agile, XP, scrum).
• Demonstrated capability with business development in big data infrastructure business