Database administrator sql Jobs

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Data Modeler

Tata Consultancy Services -
Toronto, ON

Apply Now

Job details

$90,000–$110,000 a year

Qualifications

CI/CD
Azure
Oracle
HDFS
Financial auditing
SAP
DevOps
Spark
Git
Apache Hive
Databases
SQL
AWS
HBase
Terraform
SAP S/4HANA
Metadata
AI
Jenkins
Data warehouse

Full job description

Inclusion without Exception

Tata Consultancy Services (TCS) is an equal opportunity employer, and embraces diversity in race, nationality, ethnicity, gender, age, physical ability, neurodiversity, and sexual orientation, to create a workforce that reflects the societies we operate in. Our continued commitment to Culture and Diversity is reflected in our people stories across our workforce and implemented through equitable workplace policies and processes.

Tata Consultancy Services (BSE: 532540, NSE: TCS) is the technology partner of choice for industry-leading organizations worldwide. Since its inception in 1968, TCS has upheld the highest standards of innovation, engineering excellence and customer service.

It has set an aspiration to become the world's largest AI-led technology services company and is enabling its clients to transform themselves across the full AI stack, from infrastructure to intelligence.

Rooted in the heritage of the Tata Group, TCS is focused on creating long term value for its clients, its investors, its employees, and the community at large. With a highly skilled workforce spread across 56 countries and 194 service delivery centers across the world, the company has been recognized as a top employer in six continents. With the ability to rapidly apply and scale new technologies, the company has built long term partnerships with its clients. Many of these relationships have endured into decades and navigated every technology cycle, from mainframes in the 1970s to artificial intelligence today.

Data Modeler

Key Requirements

Lead experience in enterprise Data Warehouse and Data Lake platforms

Hands-on experience with Databricks and Spark at scale

Lead modernization of Cloudera platforms (CDH/CDP, Hive, HBase, Impala, Spark) to Databricks Lakehouse

Redesign ingestion, transformation, and consumption patterns from HDFS to cloud object storage and Delta Lake

Refactor Hive/Impala logic into PySpark/Spark SQL ELT pipelines

Ensure data reconciliation, audit integrity, and parity during migration

Design and implement enterprise Data Warehouse and Data Lake/Lakehouse architectures

Implement layered architecture (Raw/Landing, Curated/Conformed, Semantic/Consumption layers)

Modernize traditional EDW to scalable lakehouse architecture

Experience with finance and risk data models including General Ledger, Sub-ledger, financial hierarchies, and risk models

Enable reporting capabilities including aggregation, drill-down, and drill-back

Build semantic and consumption layers for BI, analytics, and reporting

Define business metrics, KPIs, dimensions, and hierarchies

Experience with Databricks SQL, Delta tables, and dbt or similar tools

Develop large-scale data pipelines using PySpark, Spark SQL, and Delta Lake

Implement Medallion architecture (Bronze/Silver/Gold)

Optimize Databricks workloads using techniques such as Z-ORDER, OPTIMIZE, caching, and cluster policies

Implement data quality, reconciliation, and exception handling frameworks

Establish data lineage and metadata management using Unity Catalog

Ensure data security, access control, and compliance

Act as technical authority and lead architecture decisions

Mentor engineers and establish data engineering standards

Required Skills

Expertise in Cloudera platforms (CDH/CDP)

Strong experience in Cloudera to Databricks migration

Deep knowledge of Data Warehousing and Data Lakes

Strong experience in finance and risk data models

Experience building semantic and consumption layers

Expert-level Databricks, PySpark, Spark SQL, and SQL

Experience with cloud platforms AWS or Azure

Familiarity with CI/CD tools (Git, Terraform, Jenkins/Azure DevOps)

Experience with orchestration tools (Airflow, Databricks Workflows)

Experience with dbt is a plus

Strong stakeholder management with Finance, Risk, and Analytics teams

Ability to translate complex data into business outcomes

Good to Have

Experience in BFSI, Capital Markets, or Regulatory Reporting

Exposure to SAP Finance, Oracle Financials, or S/4HANA

Experience supporting AI/ML workloads

Databricks or cloud certifications

Impact

Lead Cloudera to Databricks transformation initiatives

Shape enterprise finance and risk data platforms

Contribute to regulatory, executive, and analytical decision-making

Salary Range: CAD$90,000 - CAD$110,000

TCS does not use artificial intelligence tools for candidate screening or evaluation. This post is for a current vacancy. The hiring process includes an initial screening, followed by a technical evaluation and managerial discussion.

Tata Consultancy Services Canada Inc. is committed to meeting the accessibility needs of all individuals in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code (OHRC). Should you require accommodation during the recruitment and selection process, please inform Human Resources.

Thank you for your interest in TCS. Candidates that meet the qualifications for this position will be contacted within a 2-week period. We invite you to continue to apply for other opportunities that match your profile.

Location

Toronto, ON

Job Function

TECHNOLOGY

Role

Database Administrator

Job Id

413715

Desired Skills

Capital Markets and Financial Services | Spark | ETL Testing

Apply Now

Refine Your Search

Data Modeler

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Senior JDE CNC Administrator

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