Deputy Manager-Data Engineer, Big Data and Machine Learning Pipelines

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Skills you'll use

What you'll do

• Understand data science challenges and design, build and schedule end-to-end data pipelines.
• Select appropriate big data technologies to solve technical and business problems efficiently.
• Automate data science pipelines, deploy machine learning algorithms and monitor their performance.
• Build Customer 360 solutions and feature stores for a range of machine learning use cases.
• Develop data models for machine learning feature stores using high-velocity databases with flexible schemas.
• Identify data sources across the organisation and integrate them into a big data lake.
• Translate business challenges into end-to-end analytics use cases, data structures and data model requirements.
• Collaborate with business stakeholders to agree scope, deliverables, processes and expected outcomes.
• Provide technical guidance to senior technologists and business leaders on data architecture, data models and metadata management.
• Partner with database teams to address data quality, accuracy, integrity and usability requirements.

Who can apply

• You have five to seven years of experience working with large datasets, distributed computing tools, simulation or optimisation techniques.
• You have experience using Apache Spark to transform data for data science activities.
• You understand distributed storage technologies, including AWS, Google Cloud Platform or HDFS.
• You have experience building and scheduling data pipelines with Apache Airflow.
• You have worked with data ingestion technologies such as Apache Kafka, Sqoop, Flume or Apache NiFi.
• You can build real-time analytics solutions using technologies such as Apache Spark, Apache Flink and Apache Kafka.
• You have programming experience in one or more of the following languages: Scala, Python, Java or R.
• You have worked with NoSQL databases such as Cassandra, MongoDB, HBase or Redis.
• You can investigate and resolve issues across big data platforms and frameworks.
• You communicate clearly and can present technical information effectively to business project leads and other stakeholders.

About Vodafone Intelligent Solutions (VOIS)

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