Data Analytics Senior Lead

Employment Type

Permanent

Closing Date

30 May 2024 11:59pm

Job Title

Data Analytics Senior Lead

Job Summary

As the Data Analytics Senior Lead, you are a key contributor to the design, implementation and delivery of strategic data programs that leverage insights and advanced analytics to drive improved service performance, business insights and customer experience. You act as a catalyst by effectively translating business needs into analytical solutions and actions while building the analytical capability necessary to achieve outcomes.

Job Description

About Telstra

We're Australia's leading telecommunications and technology company. And with a global presence in more than 22 countries, we have a strong global footprint. Our purpose is to build a connected future so everyone can thrive. We're all about providing the best experience and delivering the best tech on the best network. This includes making Telstra the place you want to work.

We offer a full range of services and compete in all telecommunications markets throughout Australia and are the most well-known brand in technology and communications industry.

We have operations in more than 20 countries, including in India. In India we are a licensed Telecom Service provider (TSP) and have extended our global networks into India with offices in Bangalore, Mumbai and Delhi. We’ve opened an Innovation and Capability Centre (ICC) in Bangalore and have a presence in Pune and Hyderabad. In India, we’ve set out to build a platform for innovative delivery and engagement that will strengthen our position as an industry leader. We’re combining innovation, automation and technology to solve the world’s biggest technological challenges in areas such as Internet of Things (IoT), 5G, Artificial Intelligence (AI), Machine Learning, and more.

Here’s what you can expect from us

• Flexible working. Choose when and how you work so you can be at your best.
• Pay for performance. We recognize outstanding contributions through our competitive incentive programs.
• Maternity Leave. Up to 26 weeks provided to the birth mother with benefits for all child births.
• Insurance benefits. Receive generous insurance benefits such as medical, accidental and life insurance.
• Unlimited learning. Level up your skills with access to 17,000 learning programs. Learn ‘on the job’ and achieve university credits towards degrees and master’s programs.
• Global presence. With a global presence across 22 countries, there are many opportunities to work where we do business.

• Function overview
• Make a difference as part of Product and Technology, your mission will be simple: capture market value at scale by building products our customers love that are simple to experience, seamless to deliver, and are profitable to the core.

What you'll do

Being part of Data Engineering means you'll be part of a team that focuses on extending our network superiority to enable the continued execution of our digital strategy. With us, you'll be working with world-leading technology and change the way we do IT to ensure business needs drive priorities, accelerating our digitisation programme.  

We are seeking a highly skilled Data Engineer with expertise in Python, SQL, REST API and exposure to Azure App Services. The successful candidate will be responsible for designing, developing, and maintaining data pipelines using Spark, Python, Scala, and related technologies. The Data Engineer will also be responsible for ensuring data quality, data security, and optimal performance of the data pipelines. Any new engineer would be mostly into developing reusable data processing and storage frameworks that can be used across data platform. 

Key Responsibilities

Data Engineer Senior Lead (Architect) role is to coordinate, and execute all activities related to the requirements interpretation, design, and implementation of Data Analytics applications. This individual will apply proven industry and technology experience as well as communication skills, problem-solving skills, and knowledge of best practices to issues related to design, development, and deployment of mission-critical systems with a focus on quality application development and delivery.

This role is key to the success of the Data Engineering capability at Telstra and will be responsible and accountable for the following:

• Lead the design, development, and maintenance of data pipelines using Spark, Python, Scala, and related technologies.
• Work with high volume data and ensure data quality and accuracy.
• Implement data security and privacy best practices to protect sensitive data.
• Collaborate with data scientists and business stakeholders to understand data needs and requirements.
• Develop and maintain documentation on data pipeline architecture, data models, and data workflows.
• Mentor and provide technical guidance to junior team members.
• Monitor and troubleshoot data pipelines to ensure they are performing optimally.
• Stay up to date with the latest developments in Azure, AWS, Spark, Python, Scala, and related technologies and apply them to solve business problems.
• Optimize data pipelines for cost and performance.
• Automate data processing tasks and workflows to reduce manual intervention.
• Ability to work in Agile Feature teams.
• Provide training and educate other team members around core capabilities and helps them deliver high quality solutions and deliverables/documentation.
• Self-Motivator to perform Design / Develop user requirements, test and deploy the changes into production.

Job Location – Bangalore

Who we're looking for.

• Degree level IT qualifications in Software or Systems Engineering.
• Minimum 10 years of Big Data platform experience, consulting or technical lead / team lead role, with 3 years of team leadership experience as a solution lead, team lead, or similar roles implementing projects.
• Hands-on experience on Python, Spark, SQL, REST APIs and Azure Cloud experience.
• Experience of working on File formats (Parquet/ORC/AVRO/Delta/Hudi etc.) 
• Experience with high volume data processing and data streaming technologies.
• Experience of using Orchestration tools like Control-m, Azure Data Factory, Airflow, Luigi to schedule jobs.
• Demonstrated experience leading data engineering projects and mentoring junior team members.
• Data engineer with expertise of working on Azure Cloud using Databricks, Kinesis/ Azure Event hub Flume/Kafka/Spark streaming, Azure Data Factory.
• Strong experience in data modelling, schema design, and ETL development using SQL and related technologies.
• Familiarity with data security and privacy best practices
• Good exposure on TDD
• Exposure on using CI tools like Git, Bitbucket, Github, Gitlab, Azure DevOps
• Exposure on using CD tools like Jenkins, Bamboo, Azure DevOps
• Exposure on Observability tools like Azure Monitor, Graphana etc
• Prior experience in building or working in team building reusable frameworks.
• Good understanding of Data Architecture and design principles. (Delta/Kappa/Lambda architecture) 
• Exposure to Open AI, Azure App insights, Telemetry experience, LangChain, Azure cognitive search/Bing search, Gen AI and Chat boat.
• Exposure to Code Quality - Static and Dynamic code scans 
• Experience in designing solutions for multiple large data warehouses with a good understanding of cluster and parallel architecture as well as high-scale or distributed RDBMS and/or knowledge on NoSQL platforms.
• Should be able to provided scalable and robust solution architecture depending on the business needs.
• Propose best practices/standards
• Programming & Databases - Java /Python/Scala/ SQL Procedure. Multi tenanted databases / Spark.

Call to action

If you're excited about the opportunity to be part of a team, committed to delivering amazing experiences to our customers – this could be the role for you!

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We’re committed to building a diverse and inclusive workforce in all its forms. We encourage applicants from diverse gender, cultural and linguistic backgrounds and applicants who may be living with a disability. We also offer flexibility in all our roles, to ensure everyone can participate.

To learn more about how we support our people, including accessibility adjustments we can provide you through the recruitment process, visit www.telstra.com.au/careers/diversity-and-inclusion.