- Creating software for retrieving, parsing and processing structured and unstructured data.
- Defining and building scalable ETL/ELT workflows for reporting and analytics.
- Supporting project team to scale, monitor and operate data platforms for very high availability and performance.
- Developing scripts and programs for converting various types of data into usable formats.
- Excellent interpersonal and highly developed communication skills.
- Creative and analytical thinker who is self-driven and capable of working in a fast-paced environment.
- IT Standards, Methodologies, SDLC, Information Security & audit requirements.
- Strong MS Office skills - Word, Outlook, Excel and PowerPoint
- Understanding of Structured query language like SQL is a must.
- Experience in handling Data ingestion pipelines in Hadoop.
- Hands-on experience in Spark/Scala/Python (Any Language) to write data transformation logic.
- Should have good knowledge of writing complex SQL logic with Joins and windowing operations. Having experience in Cloud computing it's an Add-on.
- Should have good knowledge of scripting languages - Ex: Shell script, Python, PowerShell.
- Should have hands-on experience in scheduling data pipelines for automation.
- Should have basic knowledge of data security / encryption in data lake.
- Must be willing to learn.
- Knowledge of Mainframe JCL is a plus.
- Knowledge of Git Hub or other source code management tool is a plus.
- Knowledge of IBM WebSphere Datastage is a plus.
- Knowledge of Reporting Tools like Websphere and Trino/Tableau is a plus.
- Knowledge of KAFKA.
- A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable.
- Leaders who support your development through coaching and managing opportunities
- Ability to make a difference and lasting impact.
- Work in a dynamic, collaborative, progressive, and high-performing team
- A world-class training program in financial services
- Opportunities to do challenging work, to take on progressively greater accountabilities and to building close relationships with clients.
- Access to a variety of job opportunities across business and geographies.
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Data Engineer - Mississauga, Canada - RBC - Royal Bank
Description
Job Summary
Job Description
What is the opportunity?
Supports the development and maintenance of scalable data stores that supply big data in forms needed for business analysis. Applies complete knowledge, skills, and practices to perform assignments. Data Engineer on the Insurance data Lake Team in Technology & Operations at the Royal Bank of Canada?
RBC`s Insurance data lake is responsible for Maintaining Insurance Data Lake the feeds into and out of Insurance data lake support for critical business and risk analytics, business reporting and Regulatory Reporting needs. Insurance data lake is a Large diverse environment utilizing Various platforms like Big Data, Cloudera, Snowflake, Unix, Windows, SQL Server, Mainframe, IBM Datastage etc. RBCI IDL team a young energetic, dynamic, collaborative, progressive and highly performing team of individuals who are highly talented and willing to share and work together.
What will you do?
Our team is looking for a data engineer who is constantly thinking outside the box, ready to dive deep into the smallest details, is passionate about contributing to the successful delivery of his responsibilities. The Insurance Data Lake team utilizes a diverse spectrum of technical environments Unix/Windows/Data lake/Mainframe... scripting in JCL, PowerShell, bat. Java, Spark, Scala, SQL, Unix Shel. To IBM Web sphere DataStage coding options to RBC's inhouse IDP data ingestion tool.
What do you need to succeed?
Must-have
Nice to Have:
What's in it for you?
We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.
#LI-Hybrid
#LI-Post
#LI-PK
#TECHPJ
Job Skills
Analytical Thinking, Analytical Thinking, Cloud Computing, Communication, Creativity, Database Development, Data Ingestion, Data Lake, Data Transformation, ETL Processing, GitHub, Group Problem Solving, Hands on Work, IBM InfoSphere DataStage, Interpersonal Relationships, Java, Languages, Python (Programming Language), Python for Data Analysis, Quality Management, Query Language, Reporting Tools, Requirements Analysis, Scala (Programming Language), Scripting {+ 3 more}Additional Job Details
Address:
MEADOWVALE BUSINESS PARK, 6880 FINANCIAL DR:MISSISSAUGACity:
MISSISSAUGACountry:
CanadaWork hours/week:
37.5Employment Type:
Full timePlatform:
Technology and OperationsJob Type:
RegularPay Type:
SalariedPosted Date:
Application Deadline:
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