Azure Senior Data Engineer - 5 to 7 years ( Only Immediate Joiners )

Job Name: Senior Data Engineer Azure

Years of Experience: 5

join our team! As part of the team, you will be involved in the implementation of the ongoing

and new initiatives for our company. If you love learning, thinking strategically, innovating,

and helping others, this job is for you!

Primary Skills: ADF, Databricks

Secondary Skills: DBT, Python, Databricks, Airflow, Fivetran, Glue, Snowflake

Role Description:

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

Role Responsibility:

Translate functional specifications and change requests into technical specifications

Translate business requirement document, functional specification, and technical specification to related coding

Develop efficient code with unit testing and code documentation

Ensuring accuracy and integrity of data and applications through analysis, coding, documenting, testing, and problem solving

Setting up the development environment and configuration of the development tools

Communicate with all the project stakeholders on the project status

Manage, monitor, and ensure the security and privacy of data to satisfy business needs

Contribute to the automation of modules, wherever required

To be proficient in written, verbal and presentation communication (English)

Co-ordinating with the UAT team

Role Requirement:

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