Azure Data Engineer- Azure Data Factory, Data lakes, Databricks- (3-5 years) Remote Work

Discipline: Cloud Engineer-Azure/ AWS/GCP, Analytics
Job type: Permanent
Contact name: Crescendo Global

Contact email: india@crescendogroup.in
Job ref: 38137
Published: about 2 months ago

Azure Data Engineer- Azure Data Factory, Data lakes, Databricks- (3-5 years) Remote Work

Our client is looking for someone who has hands-on experience in analyzing, re-architecting, and migrating on-premises data warehouses to data platforms on Azure. One should have hands-on experience in Azure data lake, Azure Databricks, Azure Synapse Analytics, and Azure Data Factory.

Location- Remote Work

Your Future Employer- One of the top technology solutions providers that leverage data to enable business insights.

Responsibilities-

  1. Analyzing and organizing raw data.

  2. Building data systems and pipelines.

  3. Evaluating business needs and objectives.

  4. Interpreting trends and patterns.

  5. Conducting complex data analysis and reporting on results.

  6. Preparing data for prescriptive and predictive modeling.

  7. Building algorithms and prototypes.

 

Requirements-

 

  1. Min 3 years of experience in premise ETL tools - Building and designing large-scale Data warehouse applications.

  2. Database and Application architecture experience

  3. Strong knowledge in parallel processing and data architecture patterns.

  4. Implemented complex projects dealing with considerable data size (TB/ PB) and with high complexity in the production environment.

  5. Experience in POCs and research for ETL/ Azure cloud applications

  6. Experience in analyzing, re-architecting, and migrating on-premises data warehouses to data platforms on Azure.

  7. Experience in designing data lake with ADLS - experience designing of data and data architecture in Azure data lake, Azure Databricks, Azure Synapse Analytics, and Azure Data Factory.

What is in it for you: -

  1. A stimulating work environment with equal employment opportunities.

  2. Work in a fast-paced environment in an established brand.

  3. Grow in a culture focused on training and mentoring.

Reach us: -

If this role is aligned with your career, kindly write me an email along with your updated resume at india@crescendogroup.in for a confidential discussion on the role.

Disclaimer: -

Crescendo Global in specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging memorable job search and leadership hiring experience. Crescendo Global does not discriminate on the basis of race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Profile Keywords- Azure Data Engineer, Azure Data Factory, Data lake, Databricks, Azure Synapse, SQL, Crescendo Global

Note: - We receive a lot of applications on a daily basis so it becomes a bit difficult for us to get back to each candidate. Please assume that your profiles have not been shortlisted in case you don’t hear back from us in 1 week. Your patience is highly appreciated.