Pod2 - DBRX Engineer
at NTT DATA
Location:
Employment Type: full_time
Job Description
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JOB DESCRIPTION
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<div class="jd-info au-target phw-g-i-DQrJpq" data-ph-at-id="jobdescription-text" data-ph-id="ph-page-element-page8-ISe7oT" data-ps="a0c9a920-div-4" v-phw-setting="" au-target-id="216"><p style="margin-bottom:11.0px"><strong>Req ID:</strong> <span contenteditable="false">350681</span> </p><p style="margin-bottom:11.0px"><span style="font-size:11.0pt"><span style="font-family:Calibri, sans-serif">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, apply now.</span></span></p><p style="margin-bottom:11.0px"><span style="font-size:11.0pt"><span style="font-family:Calibri, sans-serif">We are currently seeking a Pod2 - DBRX Engineer to join our team in Delhi, Delhi (IN-DL), India (IN).</span></span></p><p>"Core Responsibilities</p><p>Data Platform Development</p><p>Build and maintain large-scale data lakes leveraging Databricks and related technologies.<br>Design and implement ETL/ELT pipelines for structured and unstructured data.<br>Develop processes for data transformation, metadata management, and workload orchestration.</p><p><br>Integration & Migration</p><p>Migrate data from traditional Data Warehouse (DWH) systems to data lakes or Snowflake.<br>Ensure smooth integration with Azure services (ADLS, ADF, ADLA, AAS) and other cloud platforms.</p><p><br>Performance & Scalability</p><p>Optimize query performance and ensure scalability for big data workloads.<br>Implement stream processing and message queuing for real-time data ingestion.</p><p><br>Collaboration</p><p>Work with cross-functional teams (data scientists, analysts, architects) in a dynamic environment.<br>Provide technical guidance and documentation for stakeholders.</p><p><br>Agile Delivery</p><p>Participate in Agile ceremonies and adhere to best practices for iterative development.</p><p> </p><p><br>Required Skills</p><p>Technical Expertise</p><p>3+ years in Data Engineering or Software Engineering roles.<br>Strong proficiency in SQL, Python, PySpark, and familiarity with Scala or Java.<br>Experience with Databricks, Snowflake, and workflow management tools.</p><p><br>Cloud & Big Data</p><p>Hands-on experience with Azure cloud services and big data stores.<br>Understanding of ELT vs ETL patterns and when to apply each.</p><p><br>Data Modeling</p><p>Knowledge of data warehousing, analytic models, and schema design.</p><p><br>Preferred Qualifications</p><p>Undergraduate degree in Computer Science, Statistics, or related field (Graduate degree preferred).<br>Familiarity with CI/CD pipelines and DevOps practices.</p><p> </p><p>"</p><p><span style="font-size:11.0pt"><span style="font-family:Calibri, sans-serif"><strong><u>About NTT DATA</u></strong></span></span></p><p style="margin-bottom:11.0px"><span style="font-size:10.0pt">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.</span></p><p style="margin-bottom:11.0px"><span style="font-size:10.0pt">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 and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, <span style="font-family:verdana, geneva, sans-serif"><a href="https://us.nttdata.com/en/contact-us">https://us.nttdata.com/en/contact-us</a>.</span></span></p><p style="margin-bottom:11.0px"><span style="font-size:11.0pt"><span style="font-family:Calibri, sans-serif"><strong><em>NTT DATA endeavors to make <a href="https://us.nttdata.com">https://us.nttdata.com</a> 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 <a href="https://us.nttdata.com/en/contact-us">https://us.nttdata.com/en/contact-us</a>. </em></strong></span></span><span style="font-size:11.0pt"><span style="font-family:Calibri, sans-serif"><strong><em>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 <a href="http://us.nttdata.com/en/compliance#eeos">here</a>. If you'd like more information on your EEO rights under the law, please click <a href="http://us.nttdata.com/en/compliance#know-your-rights">here</a>. For Pay Transparency information, please click<a href="http://us.nttdata.com/en/compliance#ppnp"> here</a>.</em></strong></span></span></p></div>