8.0 - 12.0 years

0 Lacs

hyderabad, telangana, india

On-site

Job Role: Senior Database Engineer Location: Hyderabad / Gurgaon / Noida 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: 812 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. Show more Show less

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