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NTT DATA Services

Senior Data Engineer

NTT DATA Services, Dallas, Texas, United States, 75215


We are currently seeking a

Senior Data Engineer

to join our team remotely in the US.

Job Description:Senior Cloud Data EngineerWe are looking to hire Senior Cloud Data Engineers with experience in building data pipelines using cloud technologies. The ideal candidate should have demonstrated experience building large-scale solutions in one or more major cloud providers – AWS, Azure, or GCP.

Job Responsibilities:As a senior member of the team, deliver production data pipelines, while working in collaboration with product and application teams.Mentor data engineering talent.Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art, next generation big data and machine learning applications.Leverage cloud-based architectures and technologies to move, transform, and secure data, at scale.Advocate for data engineering and software best practices.

Basic Qualifications:5 years in building, scaling, and optimizing data pipelines.3 years of experience developing and deploying solutions in one or more of the public clouds - AWS, Azure, GCP.5 years of professional experience in data wrangling in relational databases using SQL.5 years experience with object-oriented programming design best practices.5 years of experience using source control (git).Experience promoting data pipeline through development, testing, and production environment.

Preferred Skills And Experience:Professional services experience, a strong plus.Cloud provider certification, a strong plus.Technologies you will work with:Data Engineering Technologies:Spark / Hadoop / Databricks.Python (JavaScript, Java or Scala, a plus).Advanced SQL.Petabyte-scale, cloud-native data stores (Redshift, Athena, BigQuery, Synapse, Snowflake).Cloud storage (S3, GCS, Azure Blob Storage).Modern warehousing and data lake patterns.Airflow or other orchestration tools.Kafka, queue/messaging paradigms.Flink, Beam, and other Apache data movement software.NoSQL and document store technologies.Cloud Technologies (One or More of AWS, Azure, GCP):Security/networking basics.Cloud native tools for batch and streaming data processing.Cloud native query engines.Serverless cloud functions, a plus.Visualization/reporting experience, a plus.Must reside in the US.

Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is

$61.24 to $77.35 W2 . This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate’s actual work location, relevant experience, technical skills, and other qualifications.

This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.

About NTT DATA Services:NTT Data Services is a global business and IT services provider specializing in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services. We are part of the NTT family of companies, a partner to 85% of the Fortune 100.

NTT DATA Services is an equal opportunity employer and considers all applicants without regarding to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees. If you need assistance or an accommodation due to a disability, please inform your recruiter so that we may connect you with the appropriate team.

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