Hiring | ETL Developer / Sr Data Analyst (MSSQL)

#Hiring #On #Priority, please find details & JD

> Role : ETL Developer / Sr Data Analyst (MSSQL)

> Company : MNC Company

> Experience : 5+ Years

Key skills : Microsoft Synapse and Power BI expertise

> Notice Period : Immediate to max 30 days

(Should serving notice period)

> Location : Hyderabad

> Work Model : WFO

> Job Type : Permanent (Full Time)

> Interview Mode : Virtual

Description:

MSSQL Developer 60%?

Data Engineer 40%

As an MSSQL developer, you would be responsible for developing and maintaining applications that use Microsoft SQL Server as the backend database. Some of the key responsibilities of an MSSQL developer include:

1. Designing and implementing database structures:?

- You would be responsible for designing and implementing the database structures for the applications you work on. This includes creating tables, indexes, stored procedures, views, and other database objects.

2. Writing SQL queries:?

- You would need to have strong SQL skills to write complex queries to retrieve, update, and delete data from the database.

3. Performance tuning:?

- You would be responsible for optimizing the database performance by tuning queries, creating indexes, and monitoring database performance metrics.

4. Troubleshooting:?

- You would need to troubleshoot and resolve database issues that arise in production environments.

5. Collaboration:?

- You would work with other developers, database administrators, and stakeholders to ensure that the database meets the needs of the business.

As a Data Engineer, you would be responsible for designing, building, and maintaining the data infrastructure that supports data-driven applications and analytics. Some of the key responsibilities of a Data Engineer include:

1. Building and maintaining data pipelines:?

- You would need to create and maintain reliable data pipelines that move data from various sources into a central data warehouse or data lake.

2. Designing and implementing data models:

- You would need to design and implement data models that support the data analytics needs of the business.

3. Creating and managing data ETL processes:?

- You would need to develop and maintain ETL (Extract, Transform, Load) processes that transform raw data into usable formats for analysis.

4. Ensuring data quality and reliability:?

- You would need to ensure that the data in the data warehouse or data lake is of high quality and reliable, and that the data pipelines and ETL processes are working as intended.

5. Collaborating with data analysts and data scientists:?

- You would work closely with data analysts and data scientists to understand their data requirements and provide them with the data they need for their analysis.

Kindly let me know your interest & suitability

References are highly appreciated

Excited ? Reach me : [email protected]

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