Snowflake + Informatica Developer

Hexaware Technologies

Mumbai

Hybrid

INR 1,500,000 - 2,500,000

Full time

4 days ago
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Job summary

Hexaware Technologies is seeking a Data Engineer with deep expertise in Snowflake and Databricks to design and maintain scalable data pipelines. You will collaborate with architects, analysts, and client stakeholders to deliver robust data solutions and ensure high performance, security, and governance across cloud environments.

Ideal candidates have 3+ years of experience, strong SQL/Python/Scala skills, and hands-on cloud experience with AWS, Azure, or GCP.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or a related field.
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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.

Skills

Snowflake
Databricks
SQL
Python
Scala
Git
CI/CD
Problem solving
Communication

Education

Bachelor's degree in Computer Science/Engineering or related field

Tools

Snowflake
Databricks
Spark
Delta Lake
Notebooks

Job description

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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