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Data Engineer - II

Atica Global

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Location:
India, Pune

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

The Data Engineer will design, develop, and maintain scalable data pipelines and ETL/ELT processes using tools like Airflow, Airbyte and PySpark. Collaborate with software engineers and analysts to ensure data availability and integrity for various applications.

Job Responsibility:

  • Design, develop, and maintain scalable data pipelines and ETL/ELT processes using tools like Airflow, Airbyte and PySpark
  • Collaborate with software engineers and analysts to ensure data availability and integrity for various applications
  • Design and implement robust data pipelines to extract, transform, and load (ETL) data from various sources
  • Utilize Airflow for orchestrating complex workflows and managing data pipelines
  • Implement batch processing techniques using Airflow/PySpark to handle large volumes of data efficiently
  • Develop ELT processes to optimize data extraction and transformation within the target data warehouse
  • Leverage AWS services (e.g., S3, RDS, Lambda) for data storage, processing, and orchestration
  • Ensure data security, reliability, and performance when utilizing AWS resources
  • Work closely with developers, analysts, and other stakeholders to understand data requirements and provide the necessary data infrastructure
  • Assist in troubleshooting and optimizing existing data workflows and queries
  • Create and maintain documentation for data pipelines, workflows, and processes
  • Adhere to best practices in data engineering, including version control and monitoring

Requirements:

  • Bachelor’s degree in computer science, Engineering, Mathematics, a related field, or equivalent practical experience
  • 3-5 years of experience in data engineering or a similar mid-level role
  • Proficiency in Python and SQL
  • experience with Java is a plus
  • Hands-on experience with AWS, Airbyte, DBT, PostgreSQL, MongoDB, Airflow, and Spark
  • Familiarity with data storage solutions such as PostgreSQL, MongoDB
  • Experience with BigQuery (setup, management and scaling)
  • Strong understanding of data modeling, ETL/ELT processes, and database systems
  • Experience with data extraction, batch processing and data warehousing
  • Excellent problem-solving skills and a keen attention to detail
  • Ability to work effectively in a collaborative team environment with software engineers and analysts

Nice to have:

experience with Java is a plus

What we offer:
  • Competitive salary and benefits package
  • Comprehensive Health Care benefits (best in the country, includes IPD+OPD, covers Employee, Spouse and two children)
  • Growth and advancement opportunities within a rapidly expanding company

Additional Information:

Job Posted:
December 06, 2025

Employment Type:
Fulltime
Work Type:
On-site work
Job Link Share:
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