Tech Consultant - Data Engineer

We are seeking an experienced Tech Consultant - Data Engineer to design, develop, and maintain scalable data pipelines and enterprise data platforms. The ideal candidate will have strong expertise in ETL/ELT processes, data modeling, cloud-based data platforms, and big data technologies. The role involves collaborating with business stakeholders, data architects, data scientists, and application teams to build reliable, secure, and high-performance data solutions that support analytics and business intelligence initiatives. Day to Day Job Duties:

• Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
• Build and optimize data ingestion, transformation, and integration processes from multiple data sources.
• Develop and maintain data models, data warehouses, and data lakes to support business reporting and analytics.
• Collaborate with data architects, analysts, and business stakeholders to understand data requirements and deliver solutions.
• Optimize data pipeline performance, scalability, reliability, and data quality.
• Implement data governance, validation, and security best practices.
• Troubleshoot production data issues and perform root cause analysis.
• Develop reusable data frameworks and automation for data processing.
• Support CI/CD deployment of data engineering solutions and participate in code reviews.
• Maintain technical documentation and follow Agile development practices.
  
  5+ years of experience in Data Engineering and building enterprise data pipelines.
• 4+ years of experience with SQL, Python, and ETL/ELT development.
• 3+ years of experience with cloud data platforms such as AWS, Azure, or Google Cloud Platform.
• 3+ years of experience with Spark, Databricks, Snowflake, Hadoop, or other big data technologies.
Nice to Have:
• Experience with orchestration tools such as Apache Airflow, Azure Data Factory, or AWS Glue.
• Knowledge of streaming technologies such as Kafka, Kinesis, or Pub/Sub.
• Experience with data warehouse solutions such as Snowflake, Redshift, BigQuery, or Synapse Analytics.
• Familiarity with containerization and orchestration technologies such as Docker and Kubernetes.
• Experience with version control (Git) and CI/CD pipelines.
• Understanding of data governance, data quality, and metadata management.
• Experience working in Banking, Financial Services, Healthcare, Retail, or other enterprise domains.
• AWS Certified Data Analytics, Azure Data Engineer Associate, Google Professional Data Engineer, or Databricks certification is preferred.
  
  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.
  
  Our people are the most critical component of our long-term success and their health and wellbeing are our priority. You will enjoy a comprehensive, locally competitive benefits package.