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Hrvisory Pty Limited Recruitment 2023/2024

Applications are invited from interested and suitably qualified candidates for Hrvisory Pty Limited Recruitment 2023/2024.

After 16 years in the industry, we decided to alter direction. Now, we share our passion by helping others.

We are recruiting to fill the following position below:

Page Contents

Job Title: Practice Lead – Data Engineering & Analytics

Introduction

As a Data Engineering & Analytics vertical market lead, you will be responsible for providing advisory and thought leadership on the provision of analytics environments leveraging Cloud-based platforms, big data technologies, including integration with existing data and analytics platforms and tools.

You will drive pre-sales (proactive, reactive pursuits). Come up with solutions for scalable data architectures, and information solutions covering data security, data privacy, data governance, metadata management, multi-tenancy and mixed workload management, implement projects and provide delivery oversight.

You will lead multiple competencies within data engineering & analytics, guiding communities on next best technologies and helping them plan next set of solutions and services in their respective technologies to present to customers.

Duties & Responsibilities

Data Engineering & Analytics Lead will take up end-to-end ownership of pre-sales, service offerings, external & internal communications, and projects and provide valuable inputs to define strategies. You will do this by:

  • Responding to client RFI, and RFP documents with proper solution design including cost estimates
  • Understanding customer requirements and creating technical proposition
  • Creating proactive proposals by understanding customer business priorities, and the technology landscape
  • Contributing to SoWs, technical project roadmaps, etc required for the successful execution of projects leveraging Technical Scoping & Solutioning approach
  • Building Solution roadmap & strategy for internal DE&A platform
  • Leading analyst briefings and presentations
  • Managing all aspects of technology solutions development and ensuring successful project deliveries
  • Developing best practices as & when needed
  • Estimating effort, identifying risk, and providing technical support whenever needed
  • Demonstrating the ability to multitask and re-prioritizing responsibility based on dynamic requirements
  • Leading and mentoring various practice competency practice teams as needed
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Desired Experience & Qualification

15-20 Years of Data and Analytics experience with minimum 5+ years in one of cloud platforms like Azure, AWS or GCP Cloud-native data services

  1. Experience working on cloud platforms (AWS/Azure/Google Cloud)
  2. Expertise in Snowflake, Databricks, Big Query, Synapse
  3. Experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka) as well as with the No-SQL (e.g. MongoDB, HBase, Cassandra)
  4. Experience with related/complementary open-source software platforms and languages (e.g. Java,  Python, Scala)
  5. Good understanding of AI, ML implementation life cycle, latest tools and offerings.
  6. Working experience with ETL (Extract-Transform-Load) tools (e.g. Informatica, Talend, Ab Initio, Pentaho)
  7. Experience working with various data visualization tools (e.g. Tableau, Power BI, Oracle Analytics Cloud, etc.)
  8. Analytical and consulting skills
  9. Strong written, verbal, and presentation communication skills
  10. Be able to work with customers independently
  11. Excellent communication skills in interviewing, preparation, and delivery of presentations and reports
  12. Working within a project management/agile delivery methodology in a leading role as part of a wider team.

How to Apply

Interested applicants should kindly visit the company website to get more details and submit the application(s).