Data Analytics Engineer (AI/ML Focus)

Tata Consultancy Services is seeking a Data Analytics Engineer with an AI/ML focus to join onsite in Sunnyvale, CA. The role centers on building scalable data pipelines, preparing AI-ready data, deploying ML models with MLOps, developing analytics dashboards, and enforcing data governance within cloud environments.

Responsibilities

• Data Pipeline & Infrastructure Development: Build, maintain, and scale ETL or ELT pipelines using Apache Spark, Airflow, and Kafka to support AI and ML workloads.
• AI Ready Data Preparation: Convert unstructured data such as text, images, and video into structured datasets suitable for model training, including feature engineering and vector database ingestion.
• ML Model Productionization: Collaborate with data scientists to deploy models, create APIs for models, and implement MLOps practices with monitoring for data drift.
• Analytics and Visualization: Develop dashboards using Tableau, Power BI, or Looker and execute SQL queries to deliver actionable business insights as an analytics engineer.
• Data Governance & Quality: Ensure data quality, reliability, and security for AI systems, with adherence to regulations like GDPR or HIPAA and management of PII/PHI.
• Cloud and Data Management: Operate within cloud environments such as AWS, Azure, and Google Cloud, leveraging services like S3, Redshift, Glue, and Databricks.

Requirements

• Programming Languages: Expert Python and advanced SQL are mandatory; Java or Scala are preferred for large scale distributed systems.
• ML Frameworks: Familiarity with PyTorch, TensorFlow, or Scikit-Learn for data manipulation and model interaction.
• Data Engineering Tools: Experience with Apache Spark, Kafka, Airflow, dbt, and vector databases such as Pinecone or Milvus.
• Cloud Platforms: Hands-on experience with AWS (Glue, SageMaker) or Google Cloud Platform.
• Analytical Skills: Strong ability to perform exploratory data analysis and interpret complex datasets.
• Soft Skills: Effective communication to bridge technical data engineering with business stakeholders.

Technologies

• Apache Spark
• Airflow
• Kafka
• Tableau
• Power BI
• Looker
• Python
• SQL
• Java
• Scala
• PyTorch
• TensorFlow
• Scikit-learn
• dbt
• Pinecone
• Milvus
• AWS
• SageMaker
• S3
• Redshift
• Glue
• Databricks
• Google Cloud

Location

Sunnyvale, CA

Job Function

Technology

Role

Engineer

Job ID

406121

Desired Skills

• Artificial Intelligence
• Data Analytics
• Kafka
• Machine Learning
• Python
• SQL
• Apache Spark

Salary Range

$70,000 to $125,000 per year