Azure Data Engineer - 5 years

ResourceTree Global Services Pvt Ltd

Chennai

On-site

INR 800,000 - 1,500,000

Full time

14 days+

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Job summary

A leading company seeks a skilled Senior Azure Developer to enhance its data engineering initiatives. In this vital role, you'll create and manage a data platform, ensuring efficient data pipelines and integration. Candidates should be adept in Azure services, programming languages like SQL and Python, and possess strong analytical skills. Join us to innovate and make a significant impact in a fast-paced environment.

Qualifications

  • Experience in Data Profiling and Data validation.
  • Proficient in programming languages like Python, SQL.
  • Demonstrated expertise as a Data Engineer, specializing in Azure cloud services.

Responsibilities

  • Create and manage technological infrastructure of a data platform.
  • Translate functional specifications into technical specifications.
  • Develop efficient code with unit testing and ensure data integrity.

Skills

SQL
Azure Data Factory
Azure Databricks
Data engineering
Data analysis

Tools

Azure Data Lake
Hadoop
Kafka

Job description

2 days ago Be among the first 25 applicants

Direct message the job poster from ResourceTree Global Services Pvt Ltd

HR Recruiter at Resource Tree Global Services

Years of Experience: 5

Job Description:We are looking for a skilled and experienced Senior Azure Developer to

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 towork 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

functional specification, and technical

specification to related coding

Develop efficient code with unit testing and

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

Co-ordinating with the UAT team

Role Requirement:

Proficient in basic and advanced SQL programming

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

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Information Technology
  • Industries
    Human Resources

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