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Data Engineer - Python / Informatica

Data Engineer - Python / Informatica

Jobtravia Pvt. Ltd.Bangalore
19 days ago
Job description

Data Engineer - Informatica & Cloud

Work Location : Bangalore / Pune

Experience : 6 - 9 Years

Notice Period : Immediate Joiners Only

We are seeking a highly skilled and motivated Data Engineer to join our dynamic team. The ideal candidate will have extensive experience across both on-premise and cloud data integration platforms, with a strong focus on IICS, Python , AWS, and Snowflake . This is an excellent opportunity for a hands-on engineer who is passionate about building robust and scalable data solutions.

Responsibilities :

  • Design, develop, implement, and maintain ETL processes using and Informatica Intelligent Cloud Services (IICS) to extract, transform, and load data from various sources into target systems, including Snowflake DB.
  • Develop and optimize Python scripts for data manipulation, automation, and integration tasks.
  • Work extensively with AWS services for data storage, processing, and analytics (e.g., S3, Redshift, Glue).
  • Implement and manage data pipelines within the Snowflake ecosystem, ensuring data quality, consistency, and performance.
  • Utilize Unix and Shell Scripting for job scheduling, file manipulations, and process automation.
  • Collaborate with data architects, business analysts, and other stakeholders to understand data requirements and translate them into technical specifications.
  • Troubleshoot, debug, and optimize existing data solutions for performance and reliability.
  • Ensure adherence to best practices in data governance, security, and data quality.

Required Skills (All Mandatory) :

  • Informatica PowerCenter : Proven experience with ETL development, mapping, workflow design, and performance tuning.
  • Informatica Intelligent Cloud Services (IICS) / Cloud Data Integration (CDI) : Strong hands-on experience in building cloud-native data integration solutions.
  • Python : Proficient in Python for data processing, scripting, and API integrations.
  • AWS (Amazon Web Services) : Solid understanding and practical experience with core AWS data services (e.g., S3, Redshift, Glue).
  • Snowflake DB : Expertise in Snowflake data warehousing, including SQL, data loading, and optimization.
  • Unix / Linux & Shell Scripting : Competency in Unix / Linux commands and shell scripting for automation and system interaction.
  • Qualifications :

  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • 6-9 years of progressive experience in data engineering, ETL development, and cloud data platforms.
  • Ability to work independently and collaboratively in a fast-paced environment.
  • Strong analytical, problem-solving, and communication skills.
  • ref : hirist.tech)

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