Role description
Responsibilities
- Lead the architecture design and implementation of advanced analytics solutions using Azure Databricks Fabric The ideal candidate will have a deep understanding of big data technologies data engineering and cloud computing with a strong focus on Azure Databricks along with Strong SQL
- Work closely with business stakeholders and other IT teams to understand requirements and deliver effective solutions
- Oversee the endtoend implementation of data solutions ensuring alignment with business requirements and best practices
- Lead the development of data pipelines and ETL processes using Azure Databricks PySpark and other relevant tools
- Integrate Azure Databricks with other Azure services eg Azure Data Lake Azure Synapse Azure Data Factory and onpremise systems
- Provide technical leadership and mentorship to the data engineering team fostering a culture of continuous learning and improvement
- Ensure proper documentation of architecture processes and data flows while ensuring compliance with security and governance standards
- Ensure best practices are followed in terms of code quality data security and scalability
- Stay updated with the latest developments in Databricks and associated technologies to drive innovation
Essential Skills
- Strong experience with Azure Databricks including cluster management notebook development and Delta Lake
- Proficiency in big data technologies eg Hadoop Spark and data processing frameworks eg PySpark
- Deep understanding of Azure services like Azure Data Lake Azure Synapse and Azure Data Factory Power BI SSRS SSAS PSKU to F SKU
- Experience with ETLELT processes data warehousing and building data lakes
- Strong SQL skills and familiarity with NoSQL databases
- Experience with CICD pipelines and version control systems like Git
- Knowledge of cloud security best practices
Soft Skills
- Excellent communication skills with the ability to explain complex technical concepts to nontechnical stakeholders
- Strong problemsolving skills and a proactive approach to identifying and resolving issues
- Leadership skills with the ability to manage and mentor a team of data engineers
Nice to have Skills
- handson Power BI expertise
- Power BI for dashboarding and reporting
- Microsoft Fabric for analytics and integration tasks
- Spark Streaming for processing realtime data streams
- Familiarity with Azure Resource Manager ARM templates for infrastructure as code IaC practices
Experience
- Demonstrated expertise of 12 years in developing data ingestion and transformation pipelines using DatabricksSynapse notebooks and Azure Data Factory
- Solid understanding and handson experience with Delta tables Delta Lake and Azure Data Lake Storage Gen2
- Experience in efficiently using Auto Loader and Delta Live tables for seamless data ingestion and transformation
- Proficiency in building and optimizing query layers using Databricks SQL
- Demonstrated experience integrating Databricks with Azure Synapse ADLS Gen2 and Power BI for end to end analytics solutions
- Prior experience in developing optimizing and deploying Power BI reports
- Familiarity with modern CICD practices especially in the context of Databricks and cloud native solutions
Skills
Mandatory Skills : Azure Cosmos DB, Azure Data Factory, BI Solutions Architecture, Microsoft Fabric, PowerBI
Other details
Vacancy Type: New Vacancy
Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree Canada (“LTIMC”):
Benefits and Perks:
- Comprehensive Medical Plan Covering Medical, Dental, Vision
- Health Care Spending Account
- Short Term and Long-Term Disability Coverage
- Life Insurance
- Annual vacation and other Paid Leaves
- Maternity Leave Top Up Pay
The range displayed on each job posting reflects the total compensation range for the position across all Canada locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.
Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.
LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.
Accessibility and Reasonable Accommodation: LTIMindtree has an accommodation process in place and provides accommodations for applicants with disabilities. If you require a specific accommodation because of a disability or a medical need, please write to us at
[email protected] so that arrangements can be made for the appropriate accommodations to be in place.
Benefits
Compensation range: $100,000.00 to $105,000.00 per year
About LTM
LTM is an AI-centric global technology services company and the Business Creativity partner to the world’s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI — enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM — a Larsen & Toubro company — owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert/
