Location: Chennai (Multiple Openings)
Experience: 4 Years
We are looking for a skilled and experienced Senior Azure Developer ! As
part of the team, you will be involved in the implementation of the ongoing and new initiatives for our client organization. If you love learning, thinking strategically, innovating, and helping others, this job is for you!
Skills : ADF, DBT, Python, Databricks, Airflow, Fivetran, Glue, Snowflake
The Role:
Data engineering role requires creating and managing technological infrastructure of a data platform, be in-charge / involved in architecting, building, and managing data flows / pipelines and construct data storages (noSQL, SQL), tools to work with big data (Hadoop, Kafka), and integration tools to connect sources or other databases.
Required Experience:
- Proficient in basic and advanced SQL programming concepts (Procedures, Analytical functions etc.).
- Good Knowledge and Understanding of Data warehouse concepts (Dimensional Modeling, change data capture, slowly changing dimensions etc.)
- Knowledgeable in Shell / PowerShell scripting
- Knowledgeable in relational databases, nonrelational databases, data streams, and file stores
- Knowledgeable in performance tuning and optimization
- Experience in Data Profiling and Data validation
- Experience in requirements gathering and documentation processes and performing unit testing
- Understanding and Implementing QA and various testing process in the project
- Knowledge in any BI tools will be an added advantage
- Sound aptitude, outstanding logical reasoning, and analytical skills
- Willingness to learn and take initiatives
- Ability to adapt to fast-paced Agile environment
Additional Requirement:
• Demonstrated expertise as a Data Engineer, specializing in Azure cloud services. Highly skilled in Azure Data Factory, Azure Data Lake, Azure Databricks, and Azure Synapse Analytics.
• Create and execute efficient, scalable, and dependable data pipelines utilizing Azure Data Factory.
• Utilize Azure Databricks for data transformation and processing.
Effectively oversee and enhance data storage solutions, emphasizing Azure Data Lake and other
Azure storage services.
•Construct and uphold workflows for data orchestration and scheduling using Azure Data Factory or equivalent tools.
• Proficient in programming languages like Python, SQL, and conversant with pertinent scripting languages.