Primary Skills
- ETL Fundamentals, Zero Copy Cloning, SQL, SQL (Basic + Advanced), Python, Data Warehousing, Snowflake Data Exchange, Time Travel and Fail Safe, Snowpipe, SnowSQL, Modern Data Platform Fundamentals, Data Modelling Fundamentals, PLSQL, T-SQL, Stored Procedures
Specialization
- Snowflake Data Architecture: Lead Data Engineer
Job requirements
- Design, develop, and maintain scalable ETL/ELT pipelines using DBT, SQL, and Python.
- Build and optimize Snowflake-based data warehouse solutions, leveraging Snowpipe, Zero Copy Cloning, Time Travel, Fail Safe, and Data Exchange.
- Design and implement robust data models to support analytics and reporting requirements.
- Develop, maintain, and optimize Tableau dashboards and reports for business users and stakeholders.
- Partner with business teams to gather reporting requirements and convert them into scalable data solutions.
- Create analytical datasets and semantic data models to support BI and self-service reporting.
- Perform data validation, reconciliation, and troubleshooting to ensure data quality and integrity.
- Develop stored procedures and automation frameworks within cloud data environments.
- Drive adoption of AI/GenAI capabilities to improve data processing and analytics.
- Mentor junior engineers on Snowflake, DBT, SQL, Tableau, and data engineering best practices.
- Hands-on experience with Snowflake Data Architecture.
- Strong understanding of:
- Snowpipe
- Zero Copy Cloning
- Time Travel
- Fail Safe
- SnowSQL
- Snowflake Data Exchange
- Experience in Snowflake performance tuning and optimization.
- Strong hands-on expertise in DBT.
- Experience in developing data transformation models, testing, deployment, and documentation.
- Expert-level SQL skills with experience handling large-scale datasets.
- Strong knowledge of data manipulation, optimization, joins, analytical functions, and query tuning.
- Experience with PL/SQL and T-SQL.
- Hands-on experience in Tableau development and dashboarding.
- Experience building interactive dashboards, visualizations, KPIs, and executive reporting.
- Strong understanding of Tableau data modeling and dashboard optimization techniques.
- Experience connecting Tableau with Snowflake and cloud data warehouses.
- Ability to translate business requirements into impactful reports and dashboards.
- Strong Python programming skills for automation, orchestration, and data engineering use cases.
- Strong understanding of ETL/ELT frameworks and modern data architectures.
- Experience in dimensional modeling and data warehousing concepts.
- Hands-on experience designing scalable enterprise data solutions.
- Exposure to AI/GenAI tools and capabilities.
- Experience with Power BI, Looker, or other BI visualization platforms.
- Experience with AWS Redshift, Google BigQuery, or similar cloud data platforms.
- Knowledge of Finance, Renewals, Subscription Management, or Sales Analytics domains.
- Experience working in Agile and DataOps environments.
- Bachelor's Degree in Computer Science, Information Technology, Data Engineering, or a related field.
- Snowflake SnowPro Certification
- Tableau Desktop Certified Professional
- DBT Certification
- Microsoft Data Engineer Associate
- AWS Data Analytics Certification
Senior Data Engineer – Snowflake, DBT, SQL & Tableau
Location
Bangalore / Hyderabad / Pune / Chennai / Gurgaon
Experience
4-8 Years of Experience
Job Summary
We are looking for a highly skilled Data Engineer with expertise in Snowflake, DBT, SQL, Python, and Tableau to design and deliver scalable data and analytics solutions. The ideal candidate will have hands-on experience building data pipelines, implementing modern data warehouse architectures, developing dashboards, and enabling business insights through reporting and analytics.
Key Responsibilities
Required Skills
Snowflake
DBT
SQL
Tableau
Python
Data Engineering
Preferred Skills
Educational Qualification
Preferred Certifications
Primary Skills
Snowflake, DBT, SQL, Tableau, Python
Secondary Skills
Data Modeling, Data Warehousing, ETL/ELT, AI/GenAI, Power BI, Looker, AWS Redshift, BigQuery
Skills Required
- 4-8 years of data engineering experience
- Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field
- Hands-on Snowflake Data Architecture experience
- Experience with Snowpipe, Zero Copy Cloning, Time Travel, Fail Safe, SnowSQL, and Snowflake Data Exchange
- Snowflake performance tuning and optimization experience
- Hands-on dbt experience developing, testing, deploying, and documenting transformation models
- Expert-level SQL skills, including data manipulation, optimization, joins, analytical functions, and query tuning
- Experience with PL/SQL and T-SQL
- Hands-on Tableau development and dashboarding experience
- Experience building interactive dashboards, visualizations, KPIs, and executive reports
- Tableau data modeling and dashboard optimization experience
- Experience connecting Tableau with Snowflake and cloud data warehouses
- Strong Python programming skills for automation, orchestration, and data engineering
- Strong understanding of ETL/ELT frameworks, modern data architectures, dimensional modeling, and data warehousing
- Exposure to AI/GenAI tools and capabilities
- Experience with Power BI, Looker, or other BI visualization platforms
- Experience with AWS Redshift, Google BigQuery, or similar cloud data platforms
- Knowledge of Finance, Renewals, Subscription Management, or Sales Analytics domains
- Experience working in Agile and DataOps environments
- Snowflake SnowPro Certification
- Tableau Desktop Certified Professional certification
- dbt Certification
- Microsoft Data Engineer Associate certification
- AWS Data Analytics Certification
Brillio Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Brillio and has not been reviewed or approved by Brillio.
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Healthcare Strength — Healthcare is considered comprehensive, including medical coverage for employees and dependents alongside life, disability, and accidental death protections. Feedback suggests these protections are a core strength of the package.
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Leave & Time Off Breadth — Time-off options include paid leave and parental leave, with flexible or ‘flexible PTO’ approaches cited in some contexts. Feedback suggests this breadth helps support work-life balance when team norms permit usage.
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Wellbeing & Lifestyle Benefits — Wellbeing offerings span counseling, financial-management sessions, fitness programs, and travel insurance, plus region-specific extras like discounted IT hardware and work-from-home essentials. Feedback suggests these add-ons enhance perceived value beyond core insurance.
Brillio Insights
What We Do
Brillio is the leader in global digital business transformation, applying technology with a human touch. We help businesses define internal and external transformation objectives, and translate those objectives into actionable market strategies using proprietary technologies. With 2600+ experts and 13 offices worldwide, Brillio is the ideal partner for enterprises that want to quickly increase their core business productivity, and achieve a competitive edge, with the latest digital solutions.
