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AI Data Engineer Job Opening In Kozhikode – Now Hiring Tata Consultancy Services


Job description

Job Title: AI Data Engineer
Exp- 4 to 8 years
Location- PAN India
Job Description
Key Responsibilities:
• Build and maintain data infrastructure: Design and construct scalable, reliable data pipelines, storage, and processing systems in the cloud.
• Ensure data quality: Clean, transform, and enrich raw data to create business truth that AI models can use for accurate insights.
• Enable AI/ML: Make data readily available and optimized for consumption by AI and machine learning models.
• Manage cloud services: Work with cloud-specific services for storage, compute, and networking to build an efficient and scalable AI data environment.
• Implement security and governance: Apply security controls to protect data and ensure compliance within the data platforms.
• Monitor and optimize: Continuously monitor data workloads and optimize for performance and cost-effectiveness.
________________________________________
Essential skills and tools
• Cloud Platforms: Deep knowledge of data services at least one major cloud provider (e.g., AWS, Google Cloud).
• Programming Languages: Strong proficiency in Python, Spark and SQL.
• Data Warehousing & Storage: Experience with technologies like Azure Synapse Snowflake, GCP BigQuery, Databricks, AWS Redshift and Data Lake.
• Data Pipelines: Familiarity with tools like Azure Data factory, AWS Glue, Apache Airflow, Kafka and dbt for orchestrating data workflows.
• AI-specific tools: Knowledge of vector databases
• Infrastructure as Code (IaC): Skills in tools like Bicep, Terraform or CloudFormation to automate infrastructure deployment.
• CI/CD: Understanding of continuous integration and continuous deployment pipelines.

________________________________________
Experience with any of the following Cloud Native Data Services:
• Azure: Azure Data Factory, MS Fabric, Azure Databricks, Azure Synapse Analytics, Datalake Gen2 and Azure Dedicated SQL Pool (ADW), Cosmos DB
• AWS: AWS Glue, AWS S3, AWS Athena, AWS Kinesis and AWS Redshift, Dynamo DB
• Google Cloud Platform (GCP): GCP Dataproc, GCP DataFlow, GCP BigQuery, GCP Cloud Storage, Cloud SQL and Pub Sub, Google BigTable, Google Spanner.
Qualifications:
• Bachelor’s or master’s degree in engineering or technology
• Proven experience in building and deploying ETL/ELT solutions in production.
• Strong understanding of Data models and Data pipelines and cloud-native Big data architectures.
• Excellent problem-solving, communication, and collaboration skills.

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your AI Data Potential: Insight & Career Growth Guide


Real-time AI Data Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for AI Data in Kozhikode, India, highlighting market share and opportunities for professionals in AI Data roles.

254663 Jobs in India
254663
1885 Jobs in Kozhikode
1885
Download Ai Data Jobs Trends in Kozhikode and India

Are You Looking for AI Data Engineer Job?

Great news! is currently hiring and seeking a AI Data Engineer to join their team. Feel free to download the job details.

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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Tata Consultancy Services adheres to the cultural norms as outlined by Expertini.

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7. Obeying India laws and regulations

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Interview Tips for AI Data Engineer Job Success

Tata Consultancy Services interview tips for AI Data Engineer

Here are some tips to help you prepare for and ace your AI Data Engineer job interview:

Before the Interview:

Research: Learn about the Tata Consultancy Services's mission, values, products, and the specific job requirements and get further information about

Other Openings

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Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

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