Azure Data Engineer

GSR Business Services; Bengaluru; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

GSR Business Services in Bengaluru is seeking a Data Engineer to develop prototypes and PoCs using diverse data sources and big-data technologies. You will deploy large databases on scalable cloud infrastructures and port data across systems to boost analytics.

You will design data processing workflows for analytics and ML, with strong focus on Azure Databricks, Azure Data Factory, and data warehousing concepts. Collaboration with global partners is essential.

Qualifications

• Bachelor's or Master's in Computer Science & Engineering or equivalent.
• Professional Degree in Data Science or Data Engineering desirable.

Responsibilities

• Develop prototypes and PoCs using multiple data-sources and big-data technologies.
• Deploy large, structured and unstructured databases on scalable cloud infrastructures.
• Port data across data-sources/DB systems to improve performance and analytics.
• Create data processing workflows and pipelines for analytics and ML applications.

Skills

Attention to detail

Analytical thinking

Communication

Team collaboration

Education

Bachelor's/Master's in CS/Engineering

Data Science / Data Engineering degree desirable

Tools

Azure Databricks

Azure Data Factory

Azure Data Storage

Azure SQL / T-SQL

Snowflake

Apache Spark

Microsoft SQL Server

Oracle

Power BI / Tableau / Qlik

SAS Viya

Job description

Job Description

What are my responsibilities?

As a Data Engineer, you are required to:

Develop prototypes and proof of concepts using multiple data-sources, AI/ML methods and big-data technologies

• Implement / Deploy large, structured and unstructured databases based on scalable cloud infrastructures
• Port data across data-sources /DB systems in order to improve performance, scalability or to facilitate analytics.
• Develop technical solutions which combine disparate information to create meaningful insights for business, using Big-data architectures (supportive role along with Data Architect)
• Stay curious and enthusiastic about using related technologies to solve problems and enthuse others to see the benefit in business domain

Qualification: Bachelor's or Master's in Computer Science & Engineering, or equivalent. Professional Degree in Data Science, Engineering is desirable.

Desired Knowledge & Experience:

1. Expert knowledge and multi-year (4+) experience on data transformation, data bases, data governance and data quality management.
2. Well-versed in relational database design and experience with processing and managing large data sets (multiple TB scale). (e.g. T-SQL, Microsoft SQL, Oracle)
3. Exceptional knowledge in Azure Data Engineering stack.
4. Strong knowledge of Azure cloud based Data Storage and Services like (Azure BLOB, AZURE Databricks, Azure Data Factory, etc) is preferred
5. Should be able to handle and analyze large volumes of data using technologies like Azure Databricks and Apache Spark. Responsible to create data processing workflows and pipelines to support data analytics and machine learning applications.
6. Exceptional knowledge of data warehousing solutions (Snowflake)
7. Exceptional knowledge in Data Warehousing concepts (Data Modelling, STAR Schema, Snowflake Schema and various Data Warehousing concepts)
8. Strong knowledge on Extract Transform & Load concept(Azure Data Factory knowledge will be added advantage)
9. Good know-how & experience on Dataops (Data Orchestration / Workflow management & Monitoring Systems) and suggest improvements / inputs for CI/CD.
10. Knowledge of any reporting/BI tool (e.g. Qlik, Tableau, PowerBI, SAS VA etc)
11. Strong inclination towards working in any BigData projects
12. Strong written/communication skill to be work with partners along the globe

Required Soft skills & Other Capabilities:

• Great attention to detail and good analytical abilities.
• Good planning and organizational skills
• Collaborative approach to sharing ideas and finding solutions
• Ability to work independently and also in a global team environment

Other Details:

1. Total number of interview rounds. ( 2 rounds )
2. Interview mode Virtual, Face-to-Face, or a combination of both. ( Combination of both) 1 round mandatory F2F
3. Work Mode: WFO / Hybrid ( Kindly mention number of days working from office) ( 3days/ week in office is okay)
4. Complete Work address/Location ( Siemens Healthineers India LLP, Pritech eco space, bellandur )