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Snowflake + Informatica Developer

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Hybrid

Snowflake + Informatica Developer

Hexaware Technologies

Snowflake + Informatica Developer

Skills

Google Cloud PlatformSQL QueriesData EngineeringPythonSnowflakeDatabricksGitMachine LearningScalaAWSComplianceAzure

13 hours ago

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Important information


Contract type:

Permanent

Location:

Mumbai, Maharashtra, India

Work mode:

Hybrid

Published on:

22 October 2026

What they need


Data Engineer

About Us:

We are a leading Managed Service Provider (MSP) delivering innovative data solutions to a diverse portfolio of clients across industries. Our mission is to empower businesses with scalable, secure, and high-performance data platforms. We are seeking a skilled and motivated Data Engineer with expertise in Snowflake and Databricks to join our growing team.

Note: We are looking for the candidates who can come for F2F Interview on Saturday (24th October)

Key Responsibilities:

  • Design, build, and maintain scalable data pipelines and ETL/ELT processes using Snowflake and Databricks.
  • Collaborate with data architects, analysts, and client stakeholders to understand data requirements and deliver robust solutions.
  • Optimize data workflows for performance, scalability, and cost-efficiency in cloud environments (AWS, Azure, or GCP).
  • Implement data quality checks, monitoring, and alerting mechanisms.
  • Support data migration and integration projects from legacy systems to modern cloud platforms.
  • Develop and maintain documentation for data models, processes, and best practices.
  • Participate in client meetings to provide technical guidance and support.
  • Ensure compliance with data governance, security, and privacy standards.

Required Qualifications:

  • Bachelors degree in Computer Science, Engineering, or a related field.
  • 3+ years of experience in data engineering or a similar role.
  • Strong hands-on experience with Snowflake (data modeling, performance tuning, SnowSQL, etc.).
  • Proficiency with Databricks (Spark, Delta Lake, notebooks, ML pipelines).
  • Solid understanding of SQL, Python, and/or Scala.
  • Experience with cloud platforms (AWS, Azure, or GCP).
  • Familiarity with CI/CD pipelines and version control (e.g., Git).
  • Excellent problem-solving and communication skills.

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