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Hyderabad · Remote · 7-10 Yrs · Sep 28
1 views
National Services & Agencies · 1 to 50 Employees · Nevers, France
3 open roles0 posted in 7d3 in 30d
Work-life balance 3.7Compensation & benefits 3.5Culture & values 3.7
Hiring: Engineering
What employees say
+ Good salary in this company
− Cudrently no cons as such
More reviews on the company profile.
Job description
Remote
Overview
CIBC is a leading North American bank, with a history of more than 150 years of living our purpose - to help make your ambition a reality.
Responsibilities
- Deliver scalable and reliable data engineering solutions to support analytics, reporting, and downstream data consumption.
- Build, enhance, and maintain batch and/or distributed data pipelines using SQL, Python, and PySpark.
- Design and implement ETL workflows that ensure efficient ingestion, transformation, and movement of data across systems.
- Develop reusable and optimized pipeline components aligned with engineering best practices.
- Support migration of data from legacy platforms to Azure Databricks and modern cloud based environments.
- Analyze legacy data flows, transformation logic, and source-to-target mappings to enable smooth modernization.
- Rebuild and optimize legacy ETL processes using modern engineering frameworks and tools.
- Ensure data integrity, completeness, and consistency during migration activities.
- Apply strong understanding of data warehousing concepts to support curated, structured, and analytics-ready data layers.
- Perform data analysis, profiling, reconciliation, and validation to ensure quality and accuracy of delivered datasets.
- Follow established SDLC processes and contribute to development, testing, deployment, and support activities.
- Ensure solutions align with data governance, control, and quality standards.
- Document technical design, transformation logic, mappings, and operational processes as needed.
- Work with business, analytics, and technology teams to understand requirements and deliver effective data solutions.
- Communicate technical concepts, delivery status, and issues clearly with stakeholders.
- Identify opportunities to automate repetitive engineering tasks and streamline data workflows.
- Recommend improvements in ETL design, code efficiency, data quality, and operational support.
- Stay current with modern data engineering practices, cloud data platforms, and Databricks capabilities.
Qualifications
- 7+ years of experience in data engineering, ETL development, or related data-focused technology roles
- Strong hands-on proficiency in SQL, Python, and PySpark
- Strong experience in building and maintaining data pipelines
- Solid understanding of ETL and data engineering concepts
- Strong understanding of data warehousing concepts
- Proven experience in migrating data from legacy platforms to Databricks
- Strong analytical, problem-solving, and data analysis skills
- Good understanding of SDLC processes
- Strong communication and collaboration skills
- Ability to work closely with stakeholders and translate requirements into engineering solutions
- ETL development
- Data pipeline engineering
- Legacy-to-cloud data migration
- Azure Databricks implementation
- SQL/Python/PySpark-based engineering solutions
- Data warehousing and transformation workflows
- Data analysis and validation
- Cross-functional collaboration in enterprise data environments
- Individual contributor role focused on delivering business reporting and analytics solutions that support business unit goals High interaction with business stakeholders and reporting consumers Strong emphasis on reporting outcomes, dashboard usability, data quality, and insight generation
- Comply with all applicable CIBC and Line of Business policies, standards, guidelines, and controls
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Job application FAQ
Last updated 2 October 2026
- How do I apply for Business Intelligence Consultant - Data Engineering [T500-29748] at CIBC India?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. CIBC India may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Business Intelligence Consultant - Data Engineering [T500-29748] role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Business Intelligence Consultant - Data Engineering [T500-29748] remote or on-site in Hyderabad, Telangana?
- This listing is marked remote with location Hyderabad, Telangana. Confirm details on the job description before applying.
- What skills matter for this Business Intelligence Consultant - Data Engineering [T500-29748] role at CIBC India?
- This is a mid-level Business Intelligence Consultant - Data Engineering [T500-29748] role. Key skills include Remote. Feedback AI highlights matched vs missing skills on your profile after signup.