Data Engineer

Atyeti Inc; Pune City; On-site; INR 800,000 - 1,200,000; Full time

Job summary

A leading IT services company in Pune City is seeking a Talent Acquisition Analyst with 5+ years of experience in data engineering. The role involves designing and maintaining ETL pipelines and requires strong skills in Python and Azure Data Factory. Ideal candidates should excel in analytical thinking and communication. This is a full-time position with a mid-senior level of responsibility.

Qualifications

• 5+ years of experience as a Data Engineer or similar role.
• Hands-on experience in designing, building, and maintaining ETL pipelines.
• Strong analytical and problem-solving skills.

Responsibilities

• Design, build, and maintain ETL pipelines.
• Work with Azure Data Factory and Databricks for big data processing.
• Collaborate with stakeholders to explain data processes.

Skills

Experience in Data Engineering

Strong programming in Python

Knowledge of Azure Data Factory

Experience with ETL concepts

Familiarity with SQL

Analytical skills

Excellent communication skills

Education

MBA in HR Management

Tools

Databricks

AWS S3

Apache Airflow

Job description

Talent Acquisition Analyst | Investment Banking | MBA in HR Management

Skills and Qualifications

• Experience: 5+ years of experience as a Data Engineer or similar role, with hands-on experience in designing, building, and maintaining ETL pipelines.
• Technologies:
• Strong programming experience in Python, particularly for data engineering tasks.
• Experience of Azure Data Factory working with Databricks for big data processing and collaboration.
• Hands-on experience with data storage solutions (e.g., AWS S3, Azure Data Lake, or Google Cloud Storage).
• Solid understanding of ETL concepts, tools, and best practices.
• Familiarity with SQL for querying and manipulating data in relational databases.
• Experience working with data orchestration tools such as Apache Airflow or Luigi is a plus.
• Data Modeling & Warehousing:
• Experience with data warehousing concepts and technologies (e.g., Redshift, Snowflake, or BigQuery).
• Knowledge of data modeling, data transformations, and dimensional modeling.
• Soft Skills:
• Strong analytical and problem-solving skills.
• Excellent communication skills, capable of explaining complex data processes to non-technical stakeholders.
• Ability to work in a fast-paced, collaborative environment and manage multiple priorities.

Additional Details

• Senioritas level: Mid-Senior level
• Employment type: Full-time
• Job function: Information Technology
• Industries: IT Services and IT Consulting

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