Data Specialist
Chennai, Tamil Nadu, India
- Pay
- Salary not listed in the saved posting
- Work setup
Hybrid — work setup source
Work setup in the employer’s listing: hybrid
From the employer’s posting- Employment
- Unconfirmed
What you’ll work on
Full postingDevelop and optimize Snowflake-based data warehouse solutions
Create data models and transformation frameworks for business requirements
Implement data ingestion, cleansing, transformation and validation processes
Monitor data quality and troubleshoot data issues across platforms
From the employer’s posting
Develop and optimize Snowflake-based data warehouse solutions for enterprise analytics and reporting.
Create robust data models and transformation frameworks to support business requirements.
Implement data ingestion, cleansing, transformation, and validation processes.
Monitor data quality and troubleshoot data-related issues across platforms.
What you’ll bring
All qualificationsCore experience
- 5–8 years of experience
- Advanced SQL skills with large-scale datasets
- Strong Python programming for data processing and automation
Preferred experience
- Experience with orchestration tools such as Airflow.
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
- Data Modeling, ETL/ELT, Airflow, AWS/Azure/GCP, Power BI/Tableau, Data Warehousing
- Knowledge of CI/CD practices and Git-based version control.
Qualification wording
5–8 Years
Advanced SQL skills with experience handling large-scale datasets.
Strong Python programming skills for data processing and automation.
Experience with orchestration tools such as Airflow.
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
Data Modeling, ETL/ELT, Airflow, AWS/Azure/GCP, Power BI/Tableau, Data Warehousing
Knowledge of CI/CD practices and Git-based version control.
Education & alternatives
Educational Qualifications - Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. Preferred Certifications
Tools in this posting
- Python
- SQL
- AWS
- Azure
- Databricks
- dbt
- Google Cloud (GCP)
- Looker
- Power BI
- Snowflake
- Tableau
- Airflow
Source — Tool mentions in context
Job requirements Job Title: Data Engineer – Snowflake, DBT, Python & SQL Experience
Job Summary We are seeking a skilled Data Engineer with strong expertise in Snowflake, DBT, SQL, and Python to design, develop, and maintain scalable data solutions. The ideal candidate will have hands-on experience building modern data pipelines, implementing data warehouse solutions, and enabling analytics through efficient data modeling and transformation practices. Key Responsibilities
Key Responsibilities - Design, build, and maintain scalable ETL/ELT data pipelines using DBT, SQL, and Python. - Develop and optimize Snowflake-based data warehouse solutions for enterprise analytics and reporting.
- Experience with stored procedures and database development. Python - Strong Python programming skills for data processing and automation.
Python - Strong Python programming skills for data processing and automation. - Experience with data engineering frameworks and scripting.
Primary Skills Snowflake, DBT, SQL, Python Secondary Skills
- Develop and maintain stored procedures, views, and database objects within cloud data platforms. - Optimize SQL queries, data models, and pipelines for performance and scalability. - Work closely with business stakeholders, analysts, and engineering teams to translate requirements into technical solutions.
- Understanding of DBT testing, documentation, and deployment practices. SQL - Advanced SQL skills with experience handling large-scale datasets.
SQL - Advanced SQL skills with experience handling large-scale datasets. - Expertise in query optimization, joins, analytical functions, and performance tuning.
- Experience with orchestration tools such as Airflow. - Exposure to cloud platforms such as AWS, Azure, or GCP. - Knowledge of CI/CD practices and Git-based version control.
- DBT Certification - AWS/Azure/GCP Data Engineering Certifications - Databricks or Cloud Data Platform Certifications
Secondary Skills Data Modeling, ETL/ELT, Airflow, AWS/Azure/GCP, Power BI/Tableau, Data Warehousing Employment type
- AWS/Azure/GCP Data Engineering Certifications - Databricks or Cloud Data Platform Certifications Primary Skills
- Performance tuning and optimization of Snowflake workloads. DBT - Strong expertise in DBT (Data Build Tool).
DBT - Strong expertise in DBT (Data Build Tool). - Experience developing reusable transformation models.
- Experience developing reusable transformation models. - Understanding of DBT testing, documentation, and deployment practices. SQL
- Snowflake SnowPro Certification - DBT Certification - AWS/Azure/GCP Data Engineering Certifications
- Knowledge of CI/CD practices and Git-based version control. - Experience with reporting and visualization tools such as Power BI, Tableau, or Looker. - Exposure to AI/GenAI capabilities within data engineering solutions.
- Design, build, and maintain scalable ETL/ELT data pipelines using DBT, SQL, and Python. - Develop and optimize Snowflake-based data warehouse solutions for enterprise analytics and reporting. - Create robust data models and transformation frameworks to support business requirements.
- Monitor data quality and troubleshoot data-related issues across platforms. - Leverage Snowflake features such as Snowpipe, Time Travel, Zero Copy Cloning, and Fail Safe. - Participate in code reviews, testing, deployment, and documentation activities.
Required Skills Snowflake - Strong hands-on experience with Snowflake Data Warehouse.
Snowflake - Strong hands-on experience with Snowflake Data Warehouse. - Experience with:
- Data Sharing/Data Exchange - Performance tuning and optimization of Snowflake workloads. DBT
Preferred Certifications - Snowflake SnowPro Certification - DBT Certification
Preferred Skills - Experience with orchestration tools such as Airflow. - Exposure to cloud platforms such as AWS, Azure, or GCP.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 16, 2026 · 32d ago
- Recorded sightings
- 75
- Last seen by us
- Oct 17, 2026
- Employer says posted
- Aug 12, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Job description
Primary Skills
- BigTable, Cloud Functions, Cloud Spanner, GKE
Specialization
- GCP Data Engineer Advanced: Senior Data Engineer
Job requirements
- Design, build, and maintain scalable ETL/ELT data pipelines using DBT, SQL, and Python.
- Develop and optimize Snowflake-based data warehouse solutions for enterprise analytics and reporting.
- Create robust data models and transformation frameworks to support business requirements.
- Implement data ingestion, cleansing, transformation, and validation processes.
- Develop and maintain stored procedures, views, and database objects within cloud data platforms.
- Optimize SQL queries, data models, and pipelines for performance and scalability.
- Work closely with business stakeholders, analysts, and engineering teams to translate requirements into technical solutions.
- Monitor data quality and troubleshoot data-related issues across platforms.
- Leverage Snowflake features such as Snowpipe, Time Travel, Zero Copy Cloning, and Fail Safe.
- Participate in code reviews, testing, deployment, and documentation activities.
- Support data governance, security, and best practices across the data ecosystem.
- Strong hands-on experience with Snowflake Data Warehouse.
- Experience with:
- Snowpipe
- Zero Copy Cloning
- Time Travel
- Fail Safe
- SnowSQL
- Data Sharing/Data Exchange
- Performance tuning and optimization of Snowflake workloads.
- Strong expertise in DBT (Data Build Tool).
- Experience developing reusable transformation models.
- Understanding of DBT testing, documentation, and deployment practices.
- Advanced SQL skills with experience handling large-scale datasets.
- Expertise in query optimization, joins, analytical functions, and performance tuning.
- Experience with stored procedures and database development.
- Strong Python programming skills for data processing and automation.
- Experience with data engineering frameworks and scripting.
- Strong understanding of ETL/ELT concepts and modern data architectures.
- Experience in data warehousing and dimensional modeling.
- Knowledge of data governance, data quality, and metadata management.
- Experience with orchestration tools such as Airflow.
- Exposure to cloud platforms such as AWS, Azure, or GCP.
- Knowledge of CI/CD practices and Git-based version control.
- Experience with reporting and visualization tools such as Power BI, Tableau, or Looker.
- Exposure to AI/GenAI capabilities within data engineering solutions.
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
- Snowflake SnowPro Certification
- DBT Certification
- AWS/Azure/GCP Data Engineering Certifications
- Databricks or Cloud Data Platform Certifications
Job Title: Data Engineer – Snowflake, DBT, Python & SQL
Experience
5–8 Years
Location
Bangalore / Hyderabad / Pune / Chennai / Gurgaon
Job Summary
We are seeking a skilled Data Engineer with strong expertise in Snowflake, DBT, SQL, and Python to design, develop, and maintain scalable data solutions. The ideal candidate will have hands-on experience building modern data pipelines, implementing data warehouse solutions, and enabling analytics through efficient data modeling and transformation practices.
Key Responsibilities
Required Skills
Snowflake
DBT
SQL
Python
Data Engineering
Preferred Skills
Educational Qualifications
Preferred Certifications
Primary Skills
Snowflake, DBT, SQL, Python
Secondary Skills
Data Modeling, ETL/ELT, Airflow, AWS/Azure/GCP, Power BI/Tableau, Data Warehousing
Employment type
Employee
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Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Chennai, Tamil Nadu, India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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