NTT DATA
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.
We are currently seeking a Pod1 - DBRX Engineer to join our team in Remote, Karnātaka (IN-KA), India (IN).
Core Responsibilities Data Platform Development
Build and maintain large-scale data lakes leveraging Databricks and related technologies.
Design and implement ETL/ELT pipelines for structured and unstructured data.
Develop processes for data transformation, metadata management, and workload orchestration.
Integration & Migration
Migrate data from traditional Data Warehouse (DWH) systems to data lakes or Snowflake.
Ensure smooth integration with Azure services (ADLS, ADF, ADLA, AAS) and other cloud platforms.
Performance & Scalability
Optimize query performance and ensure scalability for big data workloads.
Implement stream processing and message queuing for real‑time data ingestion.
Collaboration
Work with cross‑functional teams (data scientists, analysts, architects) in a dynamic environment.
Provide technical guidance and documentation for stakeholders.
Agile Delivery
Participate in Agile ceremonies and adhere to best practices for iterative development.
Required Skills Technical Expertise
3+ years in Data Engineering or Software Engineering roles.
Strong proficiency in SQL, Python, PySpark, and familiarity with Scala or Java.
Experience with Databricks, Snowflake, and workflow management tools.
Cloud & Big Data
Hands‑on experience with Azure cloud services and big data stores.
Understanding of ELT vs ETL patterns and when to apply each.
Data Modeling
Knowledge of data warehousing, analytic models, and schema design.
Preferred Qualifications
Undergraduate degree in Computer Science, Statistics, or related field (Graduate degree preferred).
Familiarity with CI/CD pipelines and DevOps practices.
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.
EEO Statement 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.
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We are currently seeking a Pod1 - DBRX Engineer to join our team in Remote, Karnātaka (IN-KA), India (IN).
Core Responsibilities Data Platform Development
Build and maintain large-scale data lakes leveraging Databricks and related technologies.
Design and implement ETL/ELT pipelines for structured and unstructured data.
Develop processes for data transformation, metadata management, and workload orchestration.
Integration & Migration
Migrate data from traditional Data Warehouse (DWH) systems to data lakes or Snowflake.
Ensure smooth integration with Azure services (ADLS, ADF, ADLA, AAS) and other cloud platforms.
Performance & Scalability
Optimize query performance and ensure scalability for big data workloads.
Implement stream processing and message queuing for real‑time data ingestion.
Collaboration
Work with cross‑functional teams (data scientists, analysts, architects) in a dynamic environment.
Provide technical guidance and documentation for stakeholders.
Agile Delivery
Participate in Agile ceremonies and adhere to best practices for iterative development.
Required Skills Technical Expertise
3+ years in Data Engineering or Software Engineering roles.
Strong proficiency in SQL, Python, PySpark, and familiarity with Scala or Java.
Experience with Databricks, Snowflake, and workflow management tools.
Cloud & Big Data
Hands‑on experience with Azure cloud services and big data stores.
Understanding of ELT vs ETL patterns and when to apply each.
Data Modeling
Knowledge of data warehousing, analytic models, and schema design.
Preferred Qualifications
Undergraduate degree in Computer Science, Statistics, or related field (Graduate degree preferred).
Familiarity with CI/CD pipelines and DevOps practices.
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.
EEO Statement 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.
#J-18808-Ljbffr