Data Engineer - Hyderabad, India - WaferWire Cloud Technologies

Description

Hi,This is

Sundeep

from

Waferwire Technologies

and we are hiring

Data Engineer with Azure Synapses and Pyspark and ADF experience

Role:
Data EngineerExperience: 3-8 YearsLocation: Hyderabad

Job Description:
We are seeking a seasoned Data Engineer to join our team in Hyderabad.

The ideal candidate will have a strong background in data engineering, with extensive experience in SQL, data pipelines, Azure Synapses Data Warehouses, and data modeling.

Responsibilities:
Develop, construct, test, and maintain architectures such as databases and large-scale processing systems.
Create and maintain optimal data pipeline architecture.
Assemble large, complex data sets that meet functional / non-functional business requirements.

Identify, design, and implement internal process improvements:
automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Azure Data Factory, Airflow, and other 'big data' technologies.

Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

Must Have:
Bachelor's or master's degree in computer science, Engineering, or a related field, or equivalent work experience.
Strong analytic skills related to working with unstructured datasets.

Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

Experience building and optimizing 'big data' data pipelines, architectures, and data sets.

Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

Strong experience with Azure Synapses Data Warehouses.
Strong understanding of schemas, data models, facts, dimensions, and semantic models.

Experience with data pipeline and workflow management tools:
Azure Data Factory, Airflow, etc.
A successful history of manipulating, processing, and extracting value from large disconnected datasets.

Good to Have:
Exposure to Microsoft Fabric, Azure Databricks.

Regards,Sundeep