Technology Lead
Infosys BPM
4d ago

About Us :

Infosys is a global leader in next-generation digital services and consulting. We enable clients in 46 countries to navigate their digital transformation.

With over three decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey.

We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight.

Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

Visit to see how Infosys (NYSE : INFY) can help your enterprise navigate your next.

Role : Technology Lead

Job Title : Data Engineer

Data Engineer

Short Description : Work on a variety of critical client engagements with some of Infosys largest and most successful clients in New Zealand.

New Zealand citizens and PR holders are encouraged to apply. We are unable to sponsor at this time. (please don’t delete short description, add below if needed)

Broad understanding of multiple technologies / platforms / products in Datawarehouse domain and enterprise application architectures, ability to define (add / modify) new architectures and anchor review of artifacts, ability to define technology solutions for complex domain / IT problems, appreciation of various consulting frameworks, strong customer interaction / stakeholder management skills, strong end to end delivery experience

Business understanding of emerging technologies like cloud-based applications in Telecommunications industry / domain, strong understanding of trends (market and technology) in areas of specialization.

Ability to leverage domain knowledge and experience to solve business / IT problems from technology perspective, ability to manage conflicting priorities, ability to provide advanced Technology advisory services, ability to participate and contribute in multiple Technology areas / CoEs to create Business Value through Technical differentiation.

Skill :

Data Engineering and Analysis

Location : Auckland

Years of EXP :

Roles and Responsibilities :

  • Design and develop best-fit data solutions for one or more projects; provide technology consultation; assist in defining scope and sizing of work;
  • implement the solutions; create technology differentiation; leverage partner technologies; participate in competency development WITH the objective of ensuring best-fit and high-quality technical solutions and creating thought leadership WITHIN the area of technology specialization and in compliance with guidelines, policies and norms of Infosys.

    Responsible for design, development, implementation, operation improvement and debug cloud environments in Azure, Snowflake Cloud Management Platform, and on-premises big data platform.

  • Design, develop and improve data pipelines for cloud and on-premises big data environments.
  • Analyze and elaborate Data Ingestion, Transformation and Data Engineering requirements
  • Performs data engineering design evaluations for new environment builds.
  • Develop solution and data pipelines for data migration activities.
  • Implementation of industry standard security practices during implementation and maintain it throughout the lifecycle.
  • Review and Automate manual data processes.
  • Responsible for design, development, implementation, operation improvement and debug cloud environments in Azure Snowflake and Cloud Management Platform orchestration tools.
  • Skill / Competency Requirements :

    Data Engineer, design and develop data pipelines for medium / large scale Telecommunication industry.


  • Microsoft Azure Data stack : Hands on implementation of end-to-end data pipelines using Azure Data Lake, Azure Data factory, Azure Databricks, SQL Server, Logic Apps.
  • Experience in setting up advanced deployment techniques like CI / CD using Azure DevOps, GITHUB integration and ARM templates.

  • Snowflake Datawarehouse : Good knowledge of Snowflake architecture, virtual warehouse, storage, security and protection, data loading and unloading using copy, snow pipe, stored procedures, performance tuning, handling of structured and semi-structured data, various Snowflake pricing models etc.
  • Big Data and Hadoop : A good working experience on several open-source technologies and big data components such as HDFS, Hive, Apache Kafka, Sqoop, Map Reduce, HBase etc.
  • Infosys Proprietary Big Data Platform Nia for Data (based on Hadoop Stack) for Enterprise Data Lake.
  • IBM DataStage, NIFI and Apache Spark for Data transformation and processing.
  • Oracle Application Express and Power BI (for Visualization and reporting requirements).
  • Hands on experience object-oriented / object function scripting languages : Python, Java, Scala, Shell scripting.
  • Advance experience with relational SQL and NoSQL databases
  • Expert in design and development of data pipelines.
  • Preferred

  • Microsoft Azure certification.
  • End to end Migration experience of on-premises Datawarehouse application to Snowflake Datawarehouse on Azure.
  • Additional skills :
  • IBM DB2
  • IBM Netezza
  • Apache Ranger for access security
  • Apache Storm for streaming data processing
  • JavaScript & JSF
  • Infosys is an equal opportunity employer and positively encourages applications from suitably qualified and eligible candidates regardless of gender or other attribute covered by equal opportunity legislation.

    Please note in order to protect the interest of all parties involved in the recruitment process, Infosys does not accept any unsolicited resumes from third party vendors.

    In the absence of a signed agreement any submission will be deemed as non-binding and Infosys explicitly reserves the right to pursue and hire the submitted profile.

    All recruitment activity must be coordinated through the Talent Acquisition department.

    All aspects of employment at Infosys are based on merit, competence, and performance. We are committed to embracing diversity and creating an inclusive environment for all employees.

    Infosys is proud to be an equal opportunity employer.

    New Zealand

    State / Region / Province

    Infy NewZealand

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