
Senior Database Engineer
7 days ago
SUMMARY
Job Role: Senior Database Engineer
Location: Hyderabad
Start Date: As soon as possible
Key Responsibilities:
- Build data pipelines for optimal extraction, transformation, and loading from various data sources using SQL and cloud database technologies.
- Work with stakeholders (Executive, Product, Data, Design teams) to support data-related technical issues.
- Collaborate with data and analytics experts to enhance data system functionality.
- Assemble large, complex data sets meeting business requirements.
- Analyze and improve existing SQL code for performance, security, and maintainability.
- Design and implement internal process improvements (automation, scalability).
- Unit test databases and perform bug fixes.
- Develop best practices for database design and development.
- Lead database projects across scrum teams.
- Support dashboard development through exploratory data analysis (desirable).
Key Requirements:
Experience: years preferred
Required Skills:
- Strong SQL experience, especially with PostgreSQL (cloud-hosted in AWS/Azure/GCP).
- Experience with cloud-based data warehouses like Snowflake (preferred) or Azure Synapse.
- Proficiency in ETL/ELT tools like IBM StreamSets, SnapLogic, DBT.
- Knowledge of data modeling and OLAP systems.
- Deep understanding of databases, data marts, and enterprise systems.
- Expertise in data ingestion, cleaning, de-duping.
- Ability to fine-tune report queries and design indexes.
- Familiarity with SQL security techniques (e.g., column-level encryption, TDE).
- Experience mapping source data into ER models (desirable).
- Adherence to database standards (naming conventions, architecture).
- Exposure to source control tools (GIT, Azure DevOps).
- Understanding of Agile methodologies (Scrum, Kanban).
- Experience with NoSQL databases and real-time replication (desirable).
- Experience with CI/CD automation tools (desirable).
- Programming experience in Golang, Python, and visualization tools (Power BI/Tableau) (desirable).
Personal Attributes:
- Strong communication skills.
- Ability to work in distributed teams.
- Capable of managing multiple timelines.
- Able to articulate data insights for business decisions.
- Comfortable with ambiguity and risk management.
- Able to explain complex concepts to non-data audiences.
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