Data Engineer
- Compensation
- ₹1.5M–₹1.8M / yr
- Location
- Hyderabad; Bengaluru
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Contract
- Experience
- 7+ years
- Category
- Data engineering
- Posted
Skills
Must have
- Strong experience in Data Vault Modeling (DV 2.0).
- Expertise in SQL and performance tuning.
- Hands-on experience with Snowflake Data Platform.
- Strong knowledge of Data Warehousing concepts and ETL/ELT processes.
- Experience in Data Modeling (Conceptual, Logical, and Physical models).
- Knowledge of building scalable data pipelines and data integration solutions.
- Experience with cloud platforms such as AWS, Azure, or GCP is an added advantage.
- Understanding of Agile/Scrum methodologies.
- Roles & Responsibilities:
- Design and implement Data Vault architecture for enterprise data warehousing solutions.
- Develop and optimize complex SQL queries, stored procedures, and data pipelines.
- Build and maintain data ingestion, transformation, and integration processes in Snowflake.
- Create and manage data models to support reporting, analytics, and business intelligence requirements.
- Ensure data quality, integrity, security, and governance standards are maintained.
- Collaborate with business stakeholders, architects, and development teams to deliver scalable data solutions.
- Monitor and optimize data warehouse performance and storage utilization.
Nice to have
- Experience with dbt, Informatica, Matillion, Airflow, or similar ETL tools.
- Snowflake certifications.
- Experience working with large-scale enterprise data platforms.
Full description
Job Description Data Engineer Location: Hyderabad, Bangalore (Hybrid 3 Days WFO)Employment Type: 6 Months contract (Can be extended or Fulltime)
Start Date: Immediate
Experience Required: 7 years
Note: Candidate should be comfortable to attend Face to Face interview after clearing first round of interview (L1 Interview)Required Skills:
Strong experience in Data Vault Modeling (DV 2.0).
Expertise in SQL and performance tuning.
Hands-on experience with Snowflake Data Platform.
Strong knowledge of Data Warehousing concepts and ETL/ELT processes.
Experience in Data Modeling (Conceptual, Logical, and Physical models).
Knowledge of building scalable data pipelines and data integration solutions.
Experience with cloud platforms such as AWS, Azure, or GCP is an added advantage.
Understanding of Agile/Scrum methodologies.
Roles & Responsibilities:
Design and implement Data Vault architecture for enterprise data warehousing solutions.
Develop and optimize complex SQL queries, stored procedures, and data pipelines.
Build and maintain data ingestion, transformation, and integration processes in Snowflake.
Create and manage data models to support reporting, analytics, and business intelligence requirements.
Ensure data quality, integrity, security, and governance standards are maintained.
Collaborate with business stakeholders, architects, and development teams to deliver scalable data solutions.
Monitor and optimize data warehouse performance and storage utilization.
Nice to Have:
Experience with dbt, Informatica, Matillion, Airflow, or similar ETL tools.
Snowflake certifications.
Experience working with large-scale enterprise data platforms.