Azure Consultant-Data Engineer/Architect
2 days ago
Experience
: 8+ yrs
Location
: Hyderabad/Mumbai
(Onsite)
Notice- Need resource who can join within 30 days
Skill
: Azure Cloud, Databricks, Data Quality, Data Governance & Modelling, ETL (Azure data factory, Databricks, Pyspark), Azure Cloud, Databases (SQL database), python, infrastructure, network & security
You can also share your resume at
As a
Azure Consultant
, you will be responsible for design, development, implementation, and maintenance of the data infrastructure and pipelines within the organization.
This role requires a strong understanding of data engineering principles, excellent technical skills, and the ability to provide technical recommendations:
- Building data models, data architecture and understanding the data integration layers.
- Design and develop scalable, reliable, and efficient data pipelines using databricks and ETL processes to extract, transform, and load data from various sources into data warehouses or data lakes.
- Implement and maintain data governance and data quality frameworks.
- Improve data processing performance and reduce latency.
- Identify and evaluate new technologies, tools, and frameworks to enhance data engineering capabilities and drive innovation.
- Define and enforce coding standards, best practices, and development methodologies to ensure high quality code and maintainable solutions.
- Test and validate data from source to cloud and support business users on their business queries
- Stay up to date with industry trends, emerging technologies, and advancements in data engineering to drive continuous improvement and innovation within the team.
- Working on analytics/data modernization and migration initiatives
Qualifications :
- Bachelors or master's degree in computer science, Information Technology or any other field.
- Must have 8+ years in data warehousing and atleast 3-4 Yrs. experience in Azure Cloud.
- Proven experience in data engineering, with a focus on designing and implementing data pipelines, ETL processes, and data warehousing solutions.
- Good experience in Azure Data Factory, Data Lake, Databricks, building data models/data marts
- Skilled in the end-to-end ETL/ELT process.
- Strong Hands-on experience in writing efficient code in Databricks, SQL, Python/Pyspark to manipulate data and draw insights
- Familiar with data extraction using third party APIs
- Proficiency in working with relational databases (SQL) and NoSQL database
- Ability to work under tight deadlines
- Excellent problem solving and analytical skills with the ability to translate complex business requirements into technical solutions
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