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AzData Engineer – Snowflake | Data Cleansing | Agentic AI

  • Source: LinkedIn
  • Teclusion
  • Hybrid
  • Hyderabad
  • Full-Time
  • Mid level

Job Description

Job Title: Data Engineer

Key Responsibilities:

•⁠ ⁠Clean, transform, and validate large datasets to ensure high data quality and consistency.

•⁠ ⁠Design, develop, and optimize data pipelines using Snowflake.

•⁠ ⁠Gather and analyze business data requirements by working closely with business stakeholders.

•⁠ ⁠Collaborate with cross-functional teams to translate business needs into scalable data solutions.

•⁠ ⁠Perform data profiling, reconciliation, and quality checks to support reporting and analytics.

•⁠ ⁠Document data flows, business rules, and technical specifications.

•⁠ ⁠Communicate effectively with technical and non-technical stakeholders throughout the project lifecycle.

Required Skills:

•⁠ ⁠Strong experience in Snowflake.

•⁠ ⁠Hands-on expertise in data cleansing, transformation, and data quality management.

•⁠ ⁠Experience gathering and documenting business/data requirements.

•⁠ ⁠Excellent communication and stakeholder management skills.

•⁠ ⁠Strong SQL and data analysis skills.

•⁠ ⁠Experience building and maintaining ETL/ELT pipelines.

•⁠ ⁠Ability to work independently and collaborate with business users.

Good to Have:

•⁠ ⁠Experience with cloud platforms (AWS, Azure, or GCP).

•⁠ ⁠Knowledge of data warehousing concepts and dimensional modeling.

•⁠ ⁠Exposure to data integration tools such as dbt, Informatica, Talend, or Matillion.

Mandatory Requirement:

•⁠ ⁠SkillFile creation for agents is mandatory.

Skills

  • Snowflake
  • amazon-web-services
  • microsoft-azure
  • google-cloud-platform
  • dbt
  • informatica
  • talend
  • matillion
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