Sr. Data Engineer to support a wireless migration to GCP and Big Data solution deliveries for our large Telecom client - 3417

Sr. Data Engineer to support a wireless migration to GCP and Big Data solution deliveries for our large Telecom client - 3417

Location: Hybrid (3 days in office) Toronto, Montreal

Duration: 1 year (Possible extension/FTE)

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.

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.

MUST HAVES:

• Proficiency with SQL, NoSQL, relational database design and methods.
• Proficiency in GCP/AWS.
• Experience building and coding applications using Hadoop components - HDFS, Hive, Impala, Sqoop, Flume, Kafka, StreamSets, HBase, etc.
• Experience building Java Applications.
• Experience coding Scala / Spark, Spark Streaming, Java, Python, HiveQL.
• Hands on expertise in Linux/Unix and scripting skills are required.
• ETL tools & Data Warehousing architecture.
• Experience working in an Agile environment.

Nice to Have:

• Wireless/Telecom Operations and Engineering business Knowledge including basic understanding of Radio access, Core network and Value added Services technologies and configurations.
• Experience in Exadata and other RDBMS.
• Experience using Maven, Git, Jenkins, Se, Ansible or other continuous integration tools.
• Ability to Identify requirements to apply design patterns like self-documenting data vs. schema-on-read.
• Knowledge of predictive analytics techniques (e.g. predictive modeling, statistical programming, machine learning, data mining, data visualization).
• Bilingual (English/French).