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Business Intelligence Advisor at NTT DATA

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

13 Jan, 26

Salary

0.0

Posted On

15 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Databricks, Delta Lake, Spark, ETL, ELT, Python, Scala, SQL, Cloud Platforms, Data Governance, Data Security, BI Tools, Containerization, Orchestration, Data Architecture, Data Quality

Industry

IT Services and IT Consulting

Description

Architecture & Design Design end-to-end scalable data solutions using Databricks, Delta Lake, and Spark. Define standards, best practices, and governance frameworks for Databricks implementations. Architect real-time, near-real-time, and batch data pipelines for structured, semi-structured, and unstructured data. Data Engineering & Development Build and optimize ETL/ELT pipelines using Databricks, Spark, Python/Scala, and SQL. Implement data quality, lineage, and observability frameworks. Develop and maintain reusable templates, components, and accelerators. Cloud Integration Integrate Databricks with cloud platforms (Azure, AWS, or GCP) and their native services (e.g., Azure Data Lake, AWS S3, BigQuery, etc.). Ensure proper security, authentication, and role-based access control in Databricks. Collaborate with DevOps teams to establish CI/CD pipelines for Databricks workflows. Partner with data scientists, analysts, and business stakeholders to understand use cases and design optimal solutions. Mentor and guide data engineers on Databricks best practices and performance tuning. Act as the subject matter expert for Databricks within the organization. 8+ years of experience in data engineering, big data, or cloud data platforms. Proven expertise in Databricks, Apache Spark, and Delta Lake. Strong programming skills in Python, SQL, and/or Scala. Hands-on experience with at least one major cloud platform (Azure, AWS, or GCP). Strong understanding of data modeling, lakehouse architecture, and distributed systems. Experience with data governance, data security, and compliance practices. Databricks Certified Data Engineer Professional or Certified Solutions Architect certification. Knowledge of BI and reporting tools (Power BI, Tableau, Looker, etc.). Familiarity with containerization and orchestration (Docker, Kubernetes, Airflow, etc.). Experience in leading the enterprise-scale data architecture initiatives. Exposure to cutting-edge technologies in cloud and analytics.

Responsibilities

Design and implement scalable data solutions using Databricks and related technologies. Collaborate with teams to optimize data pipelines and ensure data quality and governance.