SRE Engineer

Job Description

• Skill Set :

  Site Reliability Engineering (SRE)

• Total Experience :

  6.00 to 10.00 Years

• No of Openings :

  1

• Job Post Date :

  02/10/2026

• Job Expiry Date :

  30/04/2027

• Domain :

  IT

• Location :

  CALGARY [Canada]

• Job Reference No :

  4110759

Job Summary

This is an active and ongoing hiring requirement for a SRE Engineer, We are seeking an experienced Databricks Data Engineer to join our large-scale enterprise cloud modernization program. This role focuses on migrating and modernizing data platforms from Google Cloud (BigQuery/GDAP) to Azure Databricks Lakehouse. This position is based in Calgary and follows a hybrid work model, requiring employees to work onsite four days per week.

Job Summary

We are seeking an experienced Databricks Data Engineer to join our large-scale enterprise cloud modernization program. This role focuses on migrating and modernizing data platforms from Google Cloud (BigQuery/GDAP) to Azure Databricks Lakehouse. The ideal candidate will have a strong background in data migration, pipeline modernization, ETL development, Delta Lake implementation, and large-scale data engineering initiatives. We are looking for a proactive team player who can work collaboratively in a fast-paced environment and is committed to delivering high-quality data solutions. If you meet the qualifications and are excited about the opportunity to contribute to a transformative project, we encourage you to apply.

Require skill set

Azure Databricks

Spark / PySpark

GCP BigQuery

Apache Airflow / Cloud Composer

Data Migration & Data Reconciliation

SQL & Data Analysis

Data Profiling & Data Mapping

Data Lineage & Data Governance

Mandatory skill

Databricks, Pyspark, Migration projects

Key Responsibilities

Design and develop scalable ETL/ELT pipelines using Azure Databricks and PySpark.

Migrate BigQuery datasets, schemas, tables, and views to Delta Lake.

Build and optimize batch and incremental data processing pipelines.

Implement Medallion Architecture (Bronze, Silver, Gold) and Delta Lake best practices.

Develop data validation, reconciliation, and quality-check frameworks.

Support historical data migration, performance tuning, and production deployment.

Mandatory Skills

Proven experience with Azure Databricks, including Unity Catalog and Data Lakehouse Architecture.

Strong proficiency in PySpark and Spark SQL.

Expertise in ETL/ELT Development.

Experience with Azure Data Lake Storage (ADLS).

Familiarity with Git and CI/CD practices.

SQL Optimization and Performance Tuning skills.

Experience in Data Migration and Reconciliation Frameworks.

GCP BigQuery Migration Experience is essential.

Preferred Skills

Experience with Airflow / Cloud Composer Dataflow.

Familiarity with DBT (Data Build Tool) for data transformation.

Qualifications

The ideal candidate will possess a bachelor’s degree in computer science, Information Technology, or a related field. A minimum of 7-10 years of experience in data engineering, with a strong focus on cloud-based data solutions, is required. Candidates should demonstrate a solid understanding of data architecture principles and best practices.

The pay range for this role is $110,000 to $120,000 CAD per annum (max) including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance, and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience, and location of the candidate.

AI tools may assist in the recruitment process; however, all hiring decisions are made by the recruitment team based on a comprehensive evaluation of candidates.

“Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin, or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at [email protected].”