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Senior Data Engineer

@ Rivago Infotech Inc

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Toronto, Ontario

Contrat5+ ans d’expérience
Postuler
SIGNAUX

Résumé des exigences :

  • · Experience of Delta Lake, DWH, Data Integration, Cloud, Design and Data Modelling.
  • · Experience with Data warehouse Dimensional data modeling.
  • Experience designing and developing Enterprise Data Warehouse solutions.
  • · Perform code reviews to ensure fit to requirements, optimal execution patterns and adherence to established standards.
  • · 5+ years with Experience with developing and deploying ETL pipelines using Databricks Pyspark.
  • · Experience in any cloud data warehouse like Synapse, Big Query, Redshift, Snowflake.

Outils et compétences

PythonPySparkSQLData warehousingApache SparkDatabricksData modellingData warehouseManage quantitative dataUnstructured dataTroubleshootData managementReverse engineeringMicrosoft SQL Server
Source et dates

Type de source non vérifié · apify-linkedin

Date publiée par l’employeur
2026-11-09
Première détection par notre source
2026-11-10
Mise à jour du dossier source
2026-11-10

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Postuler

Rivago Infotech Inc

Toutes ses offres
ChampValeur
Offres sur Jobsy1
Description

Role: Senior Data Engineer

Location: Ottawa/Toronto (Hybrid)

Job Description:

This position is for a Senior Data engineer with a background in Python, Pyspark, SQL and data warehousing for enterprise level systems. The position calls for someone that is comfortable working with business users along with business analyst expertise.

Major Responsibilities:

· Build and optimize data pipelines for efficient data ingestion, transformation and loading from various sources while ensuring data quality and integrity.

· Design, develop, and deploy Spark program in databricks environment to process and analyze large volumes of data.

· Experience of Delta Lake, DWH, Data Integration, Cloud, Design and Data Modelling.

· Proficient in developing programs in Python and SQL

· Experience with Data warehouse Dimensional data modeling.

· Working with event based/streaming technologies to ingest and process data.

· Working with structured, semi structured and unstructured data.

· Optimize Databricks jobs for performance and scalability to handle big data workloads.

· Monitor and troubleshoot Databricks jobs, identify and resolve issues or bottlenecks.

· Implement best practices for data management, security, and governance within the Databricks environment. Experience designing and developing Enterprise Data Warehouse solutions.

· Proficient writing SQL queries and programming including stored procedures and reverse engineering existing process.

· Perform code reviews to ensure fit to requirements, optimal execution patterns and adherence to established standards.

Skills:

· 5+ years - SQL Server based development of large datasets

· 5+ years with Experience with developing and deploying ETL pipelines using Databricks Pyspark.

· Experience in any cloud data warehouse like Synapse, Big Query, Redshift, Snowflake.

· Experience in Data warehousing - OLTP, OLAP, Dimensions, Facts, and Data modeling.

· Previous experience leading an enterprise-wide Cloud Data Platform migration with strong architectural and design skills.

Education

• Minimally a BA degree within an engineering and/or computer science discipline

• Master’s degree strongly preferred

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