Databricks Engg - Systems Integration Specialist

NTT DATA Services; Bengaluru; Hybrid; INR 3,000,000 - 5,000,000; Full time

Job summary

NTT DATA Services in Bengaluru, Karnataka, India, seeks a Databricks Engg - Systems Integration Specialist to own end-to-end data pipelines using Azure Databricks, PySpark, and Delta Lake. You will ingest data from diverse sources, build reusable frameworks, and embed data quality gates.

Expect CI/CD ownership, cost tuning, and production reliability emphasis. The role requires collaboration with onsite/offshore teams to deliver scalable, governance-aligned data products and support AI model

Qualifications

• Design, build, and maintain production data pipelines on Azure Databricks.
• Ingest data from diverse sources with ADF and Databricks workflows.
• Embed testing and data quality into pipelines with DQ gates.
• Own CI/CD and environment promotion using Azure DevOps and IaC.
• Tune performance, manage costs, and support SLAs in production.

Responsibilities

• Design, build, and maintain production data pipelines on Azure Databricks using PySpark, Delta Lake and a bronze/silver/gold architecture.
• Ingest data from Oracle, Netezza, Mongo DB, SQL Server, Synapse, ADLS, APIs and file feeds via ADF and Databricks Workflows.
• Create reusable, config-driven frameworks for ingestion, transformation and data quality.
• Incorporate unit and integration tests, reconciliation, and automated data quality gates.
• Own CI/CD and deployments across dev, UAT, and production with IaC.
• Tune performance, diagnose skew and small-file issues, and optimize Delta tables and clusters.
• Provide production support and drive reliability improvements; monitor SLAs.
• Contribute to data modelling and solution architecture on demand.
• Ensure governance and compliance, including Unity Catalog access controls and audit requirements.

Skills

Data pipeline design

Data quality testing

Production support

Performance tuning

Cost optimization

Data modeling concepts

Collaboration with teams

CI/CD practices

Tools

Azure Databricks

PySpark

Delta Lake

ADF (Azure Data Factory)

Databricks Workflows

Azure DevOps

Git

Databricks Asset Bundles

Infrastructure as Code

Unity Catalog

Job description

Select how often (in days) to receive an alert: Create Alert

Databricks Engg - Systems Integration Specialist

Company: NTT DATA Services

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization,

We are currently seeking a Databricks Engg - Systems Integration Specialist to join our team in Bangalore, Karnātaka (IN-KA), India (IN).

Key Responsibilities

• Design, build, and maintain production data pipelines on Azure Databricks using PySpark, Delta Lake, and a bronze/silver/gold medallion architecture - owning solutions end-to-end from ingestion through curated, consumption-ready datasets.
• Ingest data from diverse sources (Oracle, Netezza, Mongo DB, SQL Server, Synapse, Azure Data Lake, APIs, file feeds) using ADF and Databricks Workflows, handling incremental loads, CDC, schema drift, and late-arriving data.
• Build reusable, config-driven frameworks and libraries for ingestion, transformation, and data quality rather than one-off scripts, enabling the wider team to deliver faster.
• Embed testing and data quality into every pipeline - unit and integration tests, source-to-target reconciliation, and automated DQ gates (null, uniqueness, freshness, row-count thresholds) with clear failure handling and alerting.
• Own CI/CD and environment promotion through Azure DevOps/Git, Databricks Asset Bundles, and infrastructure-as-code, delivering repeatable, auditable deployments across dev, UAT, and production.
• Tune performance and manage cost - diagnose skew, shuffle, and small-file issues, optimize Delta tables and cluster configurations, and continuously reduce runtime and compute spend.
• Provide production support and reliability engineering - monitor SLAs, perform root-cause analysis on failures, and drive design changes and operational improvements that prevent recurrence.
• Contribute to data modelling, data analysis, and solution architectureon demand - profiling sources, producing logical/physical and dimensional models, and translating business requirements into well-structured datasets.
• Design and build data products in alignment with enterprise standards, governance policies, and compliance requirements to support AI model development and training.
• Conduct and act on code reviews , upholding engineering standards, secure coding practices, and compliance requirements including Unity Catalog access controls, PII masking, and audit obligations.
• Document all work and support delivery - design documents, data dictionaries, lineage, and runbooks — plus pipeline demos, UAT support, production deployment, and clear, proactive communication of risks and blockers.
• Coordinate daily with onsite and offshore teams to ensure efficient development, support, and continuous delivery of system enhancements.
• Addressdata quality issues identified during processing or reported by users, ensuring accurate data correction and backfilling.
• Strong experience indata management, includingdata classification, data treatment, anddata governance standards and practices.
• Proficiency in leveragingAI-assisted development tools such as GitHub Copilot forETL development, data pipeline engineering, code generation, troubleshooting, andautomation of repetitive development tasks.
• Hands-on experience ingenerating integrated test data across multiple data sources and tables to support lower-environment testing and validation.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. 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. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners.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. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us .

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here . If you'd like more information on your EEO rights under the law, please click here . For Pay Transparency information, please click here .