One Of The Leading MNC

Job Description

Company Name: One Of The Leading MNC

Please Note: Company name will be announced during the time of Online group discussion.

Experience: Fresher.

Designation: AI Data Engineer.

Role: Data Analyst.

Job Location: Pune.

Eligibility Criteria:  

• Qualification: BE/B.Tech(Computer Science/IT/AI/Data Science or related fields).
• Pass out Year: 2024/2025.
• Percentage Criteria: No.
• Any Bond: No.
• Certificate(If Any): Data Analyst/Science.

Roles & Responsibilities – AI Data Engineer:

1. Design, develop, and maintain scalable batch and streaming data pipelines to ingest data from APIs, files, and databases.
2. Build and support structured data models and warehouse tables using star and snowflake schemas for analytics and machine learning use cases.
3. Implement data quality checks including validation, deduplication, schema enforcement, and continuous monitoring to ensure reliable datasets.
4. Collaborate with data scientists and ML engineers to prepare and operationalize datasets and features for model training and inference.
5. Work with cloud-based data services on Azure, AWS, or GCP to deploy and manage data infrastructure.
6. Use orchestration tools such as Airflow or Azure Data Factory to schedule, monitor, and manage data workflows.
7. Optimize data pipelines for performance, scalability, and cost efficiency in cloud environments.
8. Maintain clear documentation for data definitions, transformations, lineage, and pipeline workflows.
9. Manage code versioning, branching, and reviews using Git and GitHub best practices.
10. Follow security, compliance, and governance standards for access control, PII handling, and auditability.

Skills – AI Data Engineer:

1. Strong programming skills in Python, with exposure to Java or Scala for data processing tasks.
2. Proficient in SQL, including complex joins, window functions, CTEs, and query performance optimization.
3. Hands-on experience with data processing frameworks such as Pandas, PySpark, or Apache Spark.
4. Solid understanding of ETL and ELT concepts, including batch and real-time data processing.
5. Familiarity with common data formats such as CSV, JSON, and Parquet, along with schema evolution concepts.
6. Basic knowledge of cloud platforms including Azure, AWS, or GCP and their core data services.
7. Experience or exposure to orchestration tools like Airflow or Azure Data Factory.
8. Understanding of data warehousing principles and dimensional modeling techniques.
9. Knowledge of ML data pipelines, feature engineering concepts, and model data requirements.
10. Experience using Git for version control, collaboration, and code review workflows.
11. Awareness of data security practices, compliance requirements, and PII protection.
12. Foundational understanding of data structures, algorithms, operating systems, and networking concepts.

—– SHORTLISTING UPDATE : ONLINE GROUP DISCUSSION ROUND—–

–||– Congratulations!! 200+ Candidates are Shortlisted For Online Group Discussion Round For One Of The Leading MNC Hiring for AI Data Engineer –||–

Important Note:

1. Shortlisted Candidates Will Receive An Email with Online Group Discussion Link From Advanto Team (Please Check Your Email From SPAM PROMOTIONS & SOCIALS).
2. Also join the link with your laptop only with a stable internet connection.
3. Max. The time limit to let the candidates in for the Group Discussion Round is 10 min from the below mentioned Time Only. (Candidates Won’t Be Entered In The Chat Room After 10 Min).

Shortlisted Candidates List: