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Azure Data Engineer

RAYTEX IT SERVICES LLP

Job 7 - 11 years Fill 66 Hyderabad (Telangana)


We have an urgent opening on Data engineer with SQL experience role with us, kindly go through the below requirement, job details and let us know your interest along with your updated CV.

About Raytex IT Services: - www.raytex.co.in.

We are a boutique software company specializing in helping our clients develop unique and industry leading software products. We are different from other traditional IT services companies as we handle everything from Product Management, Product Development to DevOps for our clients with an added layer of Remote Infra Management and Managed Security. We specialize in developing products on Microsoft and Opensource platforms which are hosted in traditional data centres or in cloud environments (Azure & AWS).

We develop highly scalable and complex software to handle the growing needs of Shipping, Logistics and Marine Transportation industries. Shipping is one of the industries that is witnessing rapid automation and digitalization. About $7 Trillion worth of global business is done using shipping and opportunity to automate and improve the efficiencies is huge. Along with some of our clients, we are at the cutting edge of this transformation.

Recently we have embarked on developing blockchain based solutions to handle some of the unique problems, which lend themselves to usage of Distributed Ledger Technologies. Future looks bright and we are looking for enthusiastic and hardworking engineers like you to join us on this journey.

Position / Designation


Data Engineer ( SQL Server Experience)

Job Summary

As a Data Engineer, you play a vital role in building the right infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources. Ideal candidate must have at least 7 years of experience working inx the area of data management and analysis.

Key Responsibilities:


  • Design, develop and maintain optimal data pipelines.
  • Analyse and organize raw data.
  • Work closely with product managers and engineering managers to translate their needs into ETL flows.
  • Assemble large, complex data sets including legacy structured data warehouse that meet functional / non-functional business requirements.
  • Work with various big data platforms, databases, and systems such as Azure cosmos DB, SQL server other big data technologies like Azure data lakes.
  • Participate in data modelling discussion and influence the data architecture to ensure the best performance for solutions required by various teams.
  • Solve Big Data and Distributed Data Streaming problems using latest technologies.
  • Manipulate, process and extract value from large, disconnected datasets.
  • Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
  • Implement best practices to enhance data quality and reliability.
  • Identify opportunities for data acquisition.

Experience


Must Have:

  • Expertise in setting up effective pipelines to capture data from multiple sources into the enterprise centric storage.
  • Comfortable in building effective analytical tools that utilize the data pipeline to provide actionable insights into data synchronization and operational efficiency of the data repositories.
  • Possess strong knowledge in designing database models to store structured & unstructured data efficiently and in creating effective data tools for analytics experts.
  • Working knowledge in relational model databases (like MSSQL, MySQL, Oracle etc.) and no-SQL databases (Azure cosmos DB, MongoDB, Elastic Search etc.)
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Knowledge on enterprise data lakes, data analytics, reporting, in-memory data handling, enterprise integration tools, etc.
  • Working knowledge of message queuing, stream processing, and highly scalable big data’ data stores.
  • Experience in defining and setting up data architecture to support warehousing and BI.
  • Experience working with Big Data technologies on Azure cloud platform.
  • Having an owner's mindset and experience working in a fast-paced and demanding environment.
  • Experience in technologies like Hadoop, Spark, Scala, Python, etc. is a plus.

Qualification


Bachelor’s degree in Computer Science or related field or equivalent experience

We are a boutique software company specializing in helping our clients develop unique and industry leading software products. We are different from other traditional IT services companies as we handle everything from Product Management, Product Development to DevOps for our clients with an added layer of Remote Infra Management and Managed Security. We specialize in developing products on Microsoft and Opensource platforms which are hosted in traditional data centres or in cloud environments (Azure & AWS).

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