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Data Engineer(Snowflake & dbt)

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Data Engineer(Snowflake & dbt)

Alt Digital Technologies

Data Engineer(Snowflake & dbt)

Skills

SQL QueriesData EngineeringAWS LambdaSnowflakeGitData AnalysisAWSdbtApache Airflow

7 days ago

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Important information


Contract type:

Permanent

Location:

Uttar Pradesh, India

Work mode:

Remote

Published on:

14 October 2026

What they need


Data Engineer(Snowflake & dbt)

Job Details

  • We are seeking a hands-on Data Engineer with solid expertise in Snowflake, SQL, and dbt. This role is ideal for someone passionate about building reliable data pipelines, transforming raw data into analytics-ready models, and delivering scalable data solutions on AWS for a global enterprise.

REQUIREMENTS

  • Minimum 3 years of data engineering experience with a focus on Snowflake, SQL, and dbt.
  • Strong understanding of data warehousing concepts, dimensional modeling, and ELT patterns.
  • Ability to troubleshoot and resolve data pipeline, ingestion, and performance issues.
  • Familiarity with Git and version control workflows.
  • Strong written and verbal communication skills.
  • Excellent communication skills for client engagement and team collaboration.

PREFERRED SKILLS

  • Strong expertise in Snowflake, including data loading, Snowpipe, streams and tasks, and performance tuning.
  • Advanced SQL skills, including complex joins, window functions, CTEs, and query optimization.
  • Hands-on experience with dbt (models, macros, tests, snapshots, and incremental models).
  • Experience in API-based data ingestion (REST/JSON), including authentication, pagination, and error handling.
  • Working knowledge of AWS services such as S3, Lambda, IAM, and CloudWatch.
  • Familiarity with orchestration tools such as Airflow, Dagster, or AWS Step Functions.
  • Excellent problem-solving skills and ability to work independently in a remote setup.

RESPONSIBILITIES

  • Design, develop, and maintain ETL/ELT pipelines to ingest data from APIs, databases, and files into Snowflake.
  • Build and manage dbt models, tests, and documentation following best practices.
  • Develop and automate API ingestion workflows with proper retry and error-handling logic.
  • Use AWS services to support data storage, processing, and pipeline orchestration.
  • Monitor pipelines, troubleshoot failures, and ensure data quality and timely delivery.
  • Optimize Snowflake performance and cost through warehouse sizing and query tuning.
  • Collaborate with analysts and business stakeholders to understand and deliver data requirements.

EDUCATION PROFILE

  • Bachelor's or Master's Degree in Computer Science, Information Technology, or a related field.

  • SnowPro Core certification and/or dbt Analytics Engineering certification (preferred).

  • 3-7 years of hands-on experience in data engineering.

  • Department

    Data Engineer(Snowflake & dbt)

  • Location

    Noida , Bangalore, Remote

  • Job Type

    Full Time

  • Experience

    3-7 Years

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