Intrics India Hiring Drive 2024: Intrics India Hiring Drive 2024 for its Data Engineer. Intrics India Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor’s degree in computer science or related field. if you are interested, please apply as soon as possible.
Company Name: Intrics India
Role: Data Engineer
Location: Noida
Experience: 1+ years
Qualification: Bachelor’s degree in computer science or related field.
Batch: Any
Job Type: Full Time
Salary: 11.7 To 14.3 LPA (Expected)
Intrics India Hiring Drive 2024
Job Description:
- The Data Engineer is an Individual who assists with the development and maintenance of the company’s data storage systems and data movement processes.
- The candidate’s responsibilities include expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for various projects and functional teams.
- The Data Engineer will build new data pipelines and engines using modern cloud data tools that support our software developers, database architects, data analysts, and data scientists.
- The Engineer will ensure optimal data delivery architecture is consistent throughout ongoing projects and generate new architecture to support our next generation of products and data initiatives.
- Candidate must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products.
- An enthusiast with good hands-on experience around the prospect of optimizing or even re-designing existing data architecture to continue to adapt to the latest technology.
Requirements:
- Bachelor’s degree in computer science or related field.
- 2+ years of experience working with Microsoft SQL Databases
- 1+ years designing SQL Architecture including table design, index optimization, partitioning strategies, and others.
- 1+ years of experience developing data scripts using Python.
- 1+ years working in the Azure Cloud environment
- Experience with Databricks is a plus
- Working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience building and optimizing ‘big data’ data pipelines utilizing ETL software including SSIS, Data Factory, and others.
- Python experience with Pandas DataFrames, PySpark, NumPy, and other analytics libraries.
- Experience with RESTful APIs, Service Bus, and other orchestration tools.
- Understanding of working with containerized Apps utilizing Docker and Kubernetes a plus.
- Experience building ETL solutions with non-SQL databases like Mongo DB.
- Understanding of Azure cloud data technologies like Azure SQL, Data Factory, Parallel Data Warehousing, Azure Databricks, Azure Synapse, etc.
- Ability to prioritize and manage work to critical project timelines in a fast-paced environment.
- Proven ability to communicate at all levels with both business and technology leaders, with a strong understanding of business data requirements and technology capabilities.
- Strong attention to detail.
Responsibility:
- Develop, construct, test, and maintain data storage systems including traditional SQL databases, and No-SQL Solutions such as Mongo, BLOB Storage, and others.
- Create and maintain optimal data pipelines leveraging SSIS, Data Factory, Databricks, and others.
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Identify ways to improve data reliability, efficiency, and quality.
- Work with data and analytics experts to strive for greater functionality in our data systems.
- Integrate data tools for analytics and data scientist team members and assist them in building and optimizing our product into an innovative industry leader
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