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Azure Consultant-Data Engineer/Architect

2 months ago

Hyderabad, India Aptus Data Labs Full time

Role : Azure Sr Consultant

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 staffing@aptusdatalabs.com


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