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Senior ETL and Big Data Developer
2 months ago
Senior ETL and Big Data Developer
Location Address: Hybrid (twice a week) 333 Toronto
Contract Duration: 10/21/2024 to 10/17/2025
Extension Opportunity: Yes
FTE Opportunity: Yes
Business Group: Retail Customer Platforms Technology
Project: The ongoing project has multiple releases, dealing with Campaigns and Offer Management for retail customers and accounts. Campaigns can be mass or targeted to specific segments of customers and the offers range from fee waivers to cash bonuses. The DataStage Developer will work closely with the product owner, business analysts, and Data Architects to understand the business functions and requirements and implement a solution to extract and transform the data from various source systems.
Responsibilities:
- You will write well-designed, testable, efficient code by using best software development practices.
- You will gather and refine specifications and requirements based on technical needs.
- Create and maintain software documentation.
- Develop strategies for Extraction, Transformation, and Loading (ETL) mechanisms.
- Design Server jobs using various types of stages like Sequential file, ODBC, Hashed file, Aggregator, Transformer, Sort, Link Partitioner, and Link Collector.
- Analyze the data generated by the business process, defining the granularity, source to target mapping of the data elements, creating Indexes, and Aggregate tables for the data warehouse design and development.
- Study the data dependencies using metadata stored in the repository and prepare batches for the existing sessions to facilitate scheduling of multiple sessions.
- Direct day-to-day activities in a manner consistent with our risk culture and the relevant risk appetite statement and limits and communicate it throughout the team.
- Create an environment in which your team pursues effective and efficient operations of their respective areas while ensuring the adequacy, adherence to, and effectiveness of day-to-day business controls to meet obligations with respect to risk and compliance.
Must-Have Skills:
- Overall 10+ years of experience in development with at least 5+ years of deep experience creating and supporting ETL integrations (batch and real-time).
- You have 3+ years of hands-on experience with Parallel jobs like Join, Merge, Lookup, remove duplicates, Filter, Dataset, Lookup file set, Complex flat file, Modify, Aggregator, XM.
- You have 3+ years of hands-on experience with DataStage Manager, Designer, Administrator, and Director.
- You have 3+ years of hands-on experience with Big Data concepts and platforms, such as Hadoop/Hive/Beeline/EDL.
- You are an expert in UNIX shell scripts using K-shell for the automation of processes and scheduling DataStage jobs.
Nice-To-Have Skills:
- You have Data Warehousing skills and experience in dimensional modeling.
- You have experience in Data Modeling as well as reverse engineering using tools like Erwin and MS Visio as an asset.
- You have experience in the integration of various data sources (DB2-UDB, PL/SQL, Hadoop data) into the data staging area.
- You have experience in performance tuning and enhancement as an asset.
Best vs. Average Candidate:
Best candidate has experience in ETL and HADOOP.
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