Required Data Engineering Team Lead.
Required Travel -Up to 25%.
Managerial – No.
Location- RAANANA (company site).
Who are we?
Our company helps those who build the future to make it amazing.
With our market-leading portfolio of software products and services, we unlock our customers innovative potential, empowering them to provide next-generation communication and media experiences for both the individual end user and enterprise customers.
Our approximately 30,000 employees around the globe are here to accelerate service providers migration to the cloud, enable them to differentiate in the 5G era, and digitalize and automate their operations. Listed on the NASDAQ Global Select Market, our company had revenue of $4.89 billion in fiscal 2023.
In one sentence- data One group is seeking a hands on team lead who can drive our data engineering team forward.
We’re looking for a talented and experienced data engineering team lead to oversee the design, development, and deployment of large-scale data pipelines and architectures.
What will your job look like?
– Design and implement large-scale data pipelines: Design and implement scalable data pipelines that can handle high volumes of data. Work with cross-functional teams to identify data requirements and develop data pipelines that meet business needs.
– Lead and manage a team of data engineers: Lead and manage a team of data engineers, providing guidance and mentorship to help them grow in their careers. Foster a culture of innovation, collaboration, and continuous learning.
– Participate in hands on development with the team.
– Develop and maintain data architectures: Develop and maintain data architectures that meet business needs. Work with stakeholders to identify data requirements and develop data architectures that meet those needs.
– Work with Flink or other streaming technologies: Work with Flink or other streaming technologies to develop real-time data pipelines. Develop and implement data streaming solutions that meet business needs.
– Collaborate with cross-functional teams: Collaborate with cross-functional teams, including data science, product, and business teams, to identify data requirements and develop data solutions that meet business needs.
– Ensure data quality and security: Ensure data quality and security by developing and implementing data validation, data cleansing, and data security protocols.
– Stay up-to-date with industry trends: Stay up-to-date with industry trends and emerging technologies, and apply this knowledge to develop innovative data solutions.
Required Travel -Up to 25%.
Managerial – No.
Location- RAANANA (company site).
Who are we?
Our company helps those who build the future to make it amazing.
With our market-leading portfolio of software products and services, we unlock our customers innovative potential, empowering them to provide next-generation communication and media experiences for both the individual end user and enterprise customers.
Our approximately 30,000 employees around the globe are here to accelerate service providers migration to the cloud, enable them to differentiate in the 5G era, and digitalize and automate their operations. Listed on the NASDAQ Global Select Market, our company had revenue of $4.89 billion in fiscal 2023.
In one sentence- data One group is seeking a hands on team lead who can drive our data engineering team forward.
We’re looking for a talented and experienced data engineering team lead to oversee the design, development, and deployment of large-scale data pipelines and architectures.
What will your job look like?
– Design and implement large-scale data pipelines: Design and implement scalable data pipelines that can handle high volumes of data. Work with cross-functional teams to identify data requirements and develop data pipelines that meet business needs.
– Lead and manage a team of data engineers: Lead and manage a team of data engineers, providing guidance and mentorship to help them grow in their careers. Foster a culture of innovation, collaboration, and continuous learning.
– Participate in hands on development with the team.
– Develop and maintain data architectures: Develop and maintain data architectures that meet business needs. Work with stakeholders to identify data requirements and develop data architectures that meet those needs.
– Work with Flink or other streaming technologies: Work with Flink or other streaming technologies to develop real-time data pipelines. Develop and implement data streaming solutions that meet business needs.
– Collaborate with cross-functional teams: Collaborate with cross-functional teams, including data science, product, and business teams, to identify data requirements and develop data solutions that meet business needs.
– Ensure data quality and security: Ensure data quality and security by developing and implementing data validation, data cleansing, and data security protocols.
– Stay up-to-date with industry trends: Stay up-to-date with industry trends and emerging technologies, and apply this knowledge to develop innovative data solutions.
Requirements:
All you need is:
– 8+ years of experience in data engineering: 8+ years of experience in data engineering, with a focus on large-scale data pipelines and architectures.
– Experience in developing enterprise grade platforms as a product, serving multiple customers.
– Experience with Flink or other streaming technologies: Experience with Flink or other streaming technologies, such as Apache Kafka, Apache Spark, and Apache Storm.
– Experience with database technologies such as cassandra/syclladb, analytical databases.
– Experience with data lake technologies such as blob storage, lakehouse formats.
– Experience leading and managing teams: Experience leading and managing teams of data engineers, with a focus on developing and mentoring team members.
– Strong programming skills: Strong programming skills in languages such as Java, Scala, and Python.
– Experience with data architecture: Experience with data architecture, including data warehousing, data lakes, and data streaming.
– Strong communication and collaboration skills: Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.
All you need is:
– 8+ years of experience in data engineering: 8+ years of experience in data engineering, with a focus on large-scale data pipelines and architectures.
– Experience in developing enterprise grade platforms as a product, serving multiple customers.
– Experience with Flink or other streaming technologies: Experience with Flink or other streaming technologies, such as Apache Kafka, Apache Spark, and Apache Storm.
– Experience with database technologies such as cassandra/syclladb, analytical databases.
– Experience with data lake technologies such as blob storage, lakehouse formats.
– Experience leading and managing teams: Experience leading and managing teams of data engineers, with a focus on developing and mentoring team members.
– Strong programming skills: Strong programming skills in languages such as Java, Scala, and Python.
– Experience with data architecture: Experience with data architecture, including data warehousing, data lakes, and data streaming.
– Strong communication and collaboration skills: Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.
This position is open to all candidates.
