At a Glance
- Tasks: Optimise data performance and collaborate with teams to enhance query efficiency.
- Company: Join NTT DATA, a leader in AI and digital infrastructure.
- Benefits: Flexible work options, competitive salary, and opportunities for professional growth.
- Other info: Dynamic environment with strong career advancement potential.
- Why this job: Make a real impact in the tech world while working with cutting-edge tools.
- Qualifications: Experience in data engineering and proficiency in Databricks and Spark.
The predicted salary is between 63000 - 77000 Β£ per year.
Req ID:354119NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us.
We are currently seeking a Business Consultant - Databricks to join our team in London, London, City of (GB-LND), United Kingdom (GB).
Perform cluster and job performance tuning: optimize cluster sizing, caching, partitioning, and shuffle management.
Monitor Spark job metrics, analyze logs, and identify bottlenecks in data throughput or latency.
Collaborate with data scientists and platform teams to improve query performance on Delta Lake.
Develop automated monitoring and alerting mechanisms using Databricks REST APIs, Prometheus, or Azure Monitor.
Maintain best practices for data engineering performance, testing, and documentation. Strong proficiency with Databricks, Apache Spark (SQL, Py Spark, Scala), and Delta Lake.
Deep understanding of Spark execution plans, shuffle optimization, and data partitioning strategies.
Experience tuning job configurations (e. g., Databricks Workflows, Airflow, or Azure Data Factory.
Proficiency in Python or Scala for data engineering and pipeline development.
Hands-on experience with Azure, AWS, or multi-cloud Databricks deployments.
Knowledge of data storage layers (Azure Data Lake Storage, AWS S3) and performance trade-offs.
Version control (Git, Git Hub Actions, Dev Ops pipelines) and CI/CD practices for Databricks.
Experience with Databricks monitoring and observability (Ganglia, Prometheus, or Datadog).
Exposure to MLflow and model-serving pipelines for end-to-end performance optimization.
Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
~3β7 years of experience in data engineering, with a minimum of 2 years in Databricks-focused performance tuning.
~ Databricks Certified Data Engineer (Professional) or equivalent certification preferred.
About NTT DATANTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100.
We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future.
NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.
Whenever possible, we hire locally to NTT DATA offices or client sites.
This ensures we can provide timely and effective support tailored to each client's needs.
While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements.
For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs.
At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees.
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Consultant - Business Consulting in London employer: NTT DATA
NTT DATA is an exceptional employer that values its employees by fostering a collaborative and innovative work culture in the heart of London. With a strong emphasis on professional development, we offer numerous growth opportunities and training programs to enhance your skills in desktop support and customer service. Join us to be part of a dynamic team where your contributions are recognised and rewarded, making a meaningful impact in the tech industry.