Data Engineer (Snowflake+Informatica)

Haryana, Gurugram, India

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Role Overview:

We are looking for a talented Informatica Data Engineer with over 3+ years of experience to join our data engineering team. In this role, you will be responsible for designing, developing, and optimizing data pipelines and architectures, ensuring data quality and accessibility for analytics and business intelligence


Qualifications:

  • 3+ years of experience in data engineering, with a strong focus on Snowflake or Informatica
  • Proficient in writing complex SQL Queries
  • Familiarity with ETL tools and data integration processes
  • Knowledge of cloud platforms (AWS, Azure, or GCP) and their integration with Snowflake
  • Strong programming skills in Python
  • Experience managing and monitoring data pipelines in various environments
  • Familiarity with pipeline orchestration tools like Luigi or Airflow
  • Knowledge of Apache Kafka and experience with streaming services.


Why join us?

You'll have the opportunity to collaborate on multiple global projects, essentially gaining experience across multiple technologies simultaneously


More reasons to join us:

  • 4.0 Glassdoor Rating
  • Fully remote work environment
  • Exposure to cutting-edge technologies and international clients spanning various industries
  • Opportunities to engage in diverse projects and technologies, with cross-domain training and support for career or domain transitions, including certifications reimbursement
  • Profitable and bootstrapped company
  • Flexible working hours with a 5-day workweek
  • Over 30 paid leaves annually
  • Merit-based compensation with above-average annual increments
  • Sponsored team luncheons, festive celebrations, and semi-annual retreats
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Airflow Architecture AWS Azure Business Intelligence Data pipelines Data quality Engineering ETL GCP Informatica Kafka Pipelines Python Snowflake SQL Streaming

Perks/benefits: Flex hours Team events

Regions: Remote/Anywhere Asia/Pacific
Country: India

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