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algoleap
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Senior Database Engineer

Senior Database Engineer

algoleap

12 years

0 Lacs

hyderabad telangana india

Posted:2 days ago| Platform:

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Skills Required

database data extraction sql design support analytics analyze code security automation test scrum dashboard development analysis postgresql aws azure etl snaplogic olap report encryption mapping git agile nosql replication programming python visualization power tableau communication risk

Work Mode

On-site

Job Type

Full Time

Job Description

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:

8–12 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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