Senior Data Engineering Lead, Advanced Analytics Solutions

7 days ago

Toronto, Ontario, Canada Momentum Financial Services Group Full time
About the Role

We are seeking a highly skilled Senior Data Engineering Lead to join our team at Momentum Financial Services Group. As a key member of our data strategy team, you will play a crucial role in developing and implementing cutting-edge data engineering solutions that drive business growth and customer satisfaction.

Job Summary

The successful candidate will have a strong background in data engineering, with expertise in designing and building scalable data lakes, reporting data structures, and data architecture standards. You will lead the development of long-term goals for data architecture standards, create short-term tactical solutions, and ensure the success of enterprise-level application roll-outs.

Responsibilities
  • Develop and implement a dynamic data engineering framework that supports our business needs
  • Lead the design and development of data lake platforms, acquiring additional data sources and ensuring data quality control
  • Oversee the design phases of projects, ensuring compliance with established architecture design guidelines and standards
  • Create and deliver long-term goals for data architecture standards, driving projects that merge digital and transactional data for advanced analytics
  • Ensure the success of enterprise-level application roll-outs, connecting vendors and providers to select products and services that meet our goals
Requirements

To be successful in this role, you will need:

  • 5+ years of relevant experience in Data Engineering / Analytics domain, with at least 1 year in Digital Analytics
  • Strong experience with SQL and one other programming language (Python/.NET/Java)
  • Hands-on experience parsing NOSQL file systems such as JSON, XML, AVRO, Parquet
  • Proven track record of experience with Apache Spark Data Bricks or Snowflake
  • Experience implementing Data Lake projects, building web-services, and functional knowledge of financial instruments and data domains
Skills and Qualifications

You will possess:

  • Azure/Synapse/ETL & ADF skills
  • Understanding of Web services (SOAP, XML, UDDI, WSDL)
  • Data analysis using SQL is mandatory
  • Databricks – Delta Lake, well-versed with Python scripting and use of libraries (Numpy, Pandas)
  • SnowFlake experience is preferred, Tableau (preferred), Power BI, Qlik
What We Offer

We offer a competitive salary of $120,000 - $150,000 per annum, depending on experience, plus a comprehensive benefits package, including health insurance, retirement savings plan, and paid time off. We also provide opportunities for professional growth and development, working with a talented team of professionals who are passionate about delivering exceptional results.

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