Data Engineers

Data Engineer Jobs in Feb 2024: 10 Opportunities in India

Parvin Mohmad

Analytics Insight has listed the top 10 companies hiring data engineers

Paytm, whose payments bank endeavour is under regulatory scrutiny, is hiring for a variety of jobs in product and business departments. According to a blog post on Paytm's website, recruiting partners continue to get tremendous demand from top talent in the nation to join the firm. Amid this news, there are several openings for AI roles

Analytics Insight has listed 10 companies hiring for data engineer Jobs in India for February 2024

IT OPENDOORS LLC

This is a full-time on-site position for a Data Engineer in Hyderabad. The Data Engineer will be in charge of day-to-day duties such as data engineering, data modelling, extract transform load (ETL), data warehousing, and data analysis.

Deloitte

Analyse the client's use case and accessible data to prepare for automated and continuous data input to satisfy customer needs, design a technological solution that includes all data intake, transformation, and scheduling for customer inspection and signoff, Identify AEP upgrades, expand frameworks, and incorporate new concepts.

Microsoft

As a Data Engineer, you will contribute to the team's development of a world-class, customer-centric technical infrastructure. You will collaborate with Azure CXP Programme Managers and Data Scientists, as well as other Azure engineering teams and Field, Marketing, and Support organisations, to define and deliver critical customer-facing features, tools, infrastructure, and end-to-end solutions for all of Azure CXP's rapidly expanding programmes. The ideal applicant will have prior expertise working with current big data systems, including data intake, validation, transformation/ETL, governance, and analysis.

Staffio Search

Have extensive experience with Hadoop, Hive, HBase, and Spark, Hands-on development experience in Java and Spark using Scala via Maven, clear grasp of Hadoop DFS and Map, reduce internal operations, and Clear comprehension of Spark's internal execution process.

Bristol Myers Squibb

Responsible for delivering data and analytics solutions for Commercial and BI&A. Responsibilities include developing and implementing scalable global analytics and ingestion solutions, ensuring compliance with BMS Data Protection and Cyber Security policies, and collaborating with Commercial stakeholders to deliver best-in-class data capabilities and analytics.

Mirabel Technologies

The candidate must have good understanding of SDLC, STLC, and Agile processes, should be capable of doing the allocated responsibilities independently, understanding and Analysing Test Requirements, developing, improving, debugging, running, reporting bugs, and tracking

SpringML

The organization is searching Hyderabad for a Full Stack Developer to provide innovative solutions that meet business needs. You will be working with server-side technologies, backend systems, and API capabilities in addition to designing, setting up, and integrating frontend solutions. With zero to one year of Full Stack experience, knowledge of frameworks such as React and NodeJS, and a preference for readable, scalable code, you will contribute to the development of innovative, user-focused applications that push the boundaries of digital technology.

Anblicks

The company is looking for an experienced expert to join our team at Anblicks as a Senior Data Modeller / Lead Data Engineer. The ideal applicant will play a critical role in defining and executing sophisticated data modelling strategies, with over ten years of expertise in IT and a focus on technologies such as project management, data analytics, statistics, data mining, and data engineering.

PokerStars

The company is searching for a Data Engineer to join our fast-paced and dynamic business intelligence-data platform team at our Hyderabad office.

Insight Global

The candidate must manage a large team of engineers in an enterprise data operations environment, overseeing SLAs, SLOs, and KPIs. Provided frequent performance reports to stakeholders.Provide advice on how to increase service quality in terms of management, technological strategy, and automation capabilities.Create and manage data pipelines to allow quicker, smarter, data-informed decision-making via customer enterprise business analytics.

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