Data Engineer

2 months ago

Bangalore, India Apps Business IT Solutions Pvt. Ltd. (ABITS) Full time

Company Description :

Apps Business IT Solutions Private Limited (ABITS) is a leading IT consulting and Enterprise Software services company located in the Greater Bengaluru Area. ABITS has over 150+ associates with a combined global IT & domain experience of more than 1000 person years.

The company's transparent communication and state-of-the-art off-site delivery facilities contribute to its steady growth. ABITS' ERP services are ISO 9001:2008 certified by TUV Sud.

Role Description :

This is a full-time hybrid role for a Data Engineer at ABITS. The Data Engineer will be responsible for tasks such as data engineering, data modeling, "Extract Transform Load (ETL)" processes, data warehousing, and data analytics. While the role is located in the Greater Bengaluru Area, remote work is also acceptable.

Qualifications :

- 4+ years' overall work experience and bachelor's degree in information science, Computer Science, Mathematics, Statistics or a quantitative discipline in science, business, or social science.

- Minimum of 3 years of experience as a data developer using Python, Kafka, Spark Streaming, Azure SQL Server, Cosmos DB/Mongo DB, Azure Event Hubs, Azure Data Lake Storage, Azure Search etc.

- Excellent technical, analytical, and organizational skills.

- Effective written and verbal communication skills, including technical writing.

- Hands-on engineering lead who is curious about technology, should be able to quickly adopt to change and one who understands the technologies supporting areas such as Cloud Computing (AWS, Azure(preferred), etc.), Micro Services, Streaming Technologies, Network, Security etc.

- Hands-on Experience for building Data Pipelines in Cloud.

- Experience in working with databases especially SQL server databases.

- Design & develop data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities.

- Experience handling un-structured data, working in a data lake environment, leveraging data streaming, and developing data pipelines driven by events/queues.

- Team player, Reliable, self-motivated, and self-disciplined individual capable of executing on multiple projects simultaneously within a fast-paced environment working with cross functional teams

(ref:hirist.tech)

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