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Data Engineering Intern

1.00 to 10.00 Years   Ahmedabad   20 Jul, 2026
BRILWORKS TECHNOLOGY PRIVATE LIMITED
Job LocationAhmedabad
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT Services & Consulting
Functional AreaNot Mentioned
EmploymentTypeFull-time

Job Description

    Data Engineering Intern :What You Will DoBuild and maintain ELT pipelines using dbt, Fivetran, and Apache Airflow undersenior guidance.Write clean, optimised SQL and Python for data transformation and ingestiontasks.Assist with Snowflake and Databricks platform work schema design,warehouse configuration, cluster tuning.Run cost-analysis queries to identify over-spending patterns (auto-scaling,unpartitioned scans, idle clusters).Support data migration projects moving clients from legacy warehouses (SQLServer, Teradata, on-prem) to the cloud.Participate in code reviews, documentation, and knowledge-sharing within theengineering team.Contribute to internal tooling and reusable pipeline templates that accelerateclient delivery.What We Are Looking ForMust-haveBachelors degree in Computer Science, Information Systems, or a relatedtechnical field (2025 or 2026 graduate).Strong SQL fundamentals joins, aggregations, window functions, queryoptimisation basics.Python proficiency: writing scripts, working with pandas / PySpark, reading andwriting to APIs or files.Understanding of data warehouse concepts schemas, fact/dimension tables,partitioning, indexing.Genuine curiosity about data infrastructure and cloud platforms.Nice-to-haveHands-on exposure to Snowflake or Databricks through coursework, self-study,or internships.Familiarity with dbt (data build tool) even working through the dbt Learntutorials counts.Experience with any cloud provider (AWS, Azure, or GCP) at the student-projector certification level.Knowledge of orchestration tools such as Apache Airflow or Prefect Data Engineering Intern :What You Will DoBuild and maintain ELT pipelines using dbt, Fivetran, and Apache Airflow undersenior guidance.Write clean, optimised SQL and Python for data transformation and ingestiontasks.Assist with Snowflake and Databricks platform work schema design,warehouse configuration, cluster tuning.Run cost-analysis queries to identify over-spending patterns (auto-scaling,unpartitioned scans, idle clusters).Support data migration projects moving clients from legacy warehouses (SQLServer, Teradata, on-prem) to the cloud.Participate in code reviews, documentation, and knowledge-sharing within theengineering team.Contribute to internal tooling and reusable pipeline templates that accelerateclient delivery.What We Are Looking ForMust-haveBachelors degree in Computer Science, Information Systems, or a relatedtechnical field (2025 or 2026 graduate).Strong SQL fundamentals joins, aggregations, window functions, queryoptimisation basics.Python proficiency: writing scripts, working with pandas / PySpark, reading andwriting to APIs or files.Understanding of data warehouse concepts schemas, fact/dimension tables,partitioning, indexing.Genuine curiosity about data infrastructure and cloud platforms.Nice-to-haveHands-on exposure to Snowflake or Databricks through coursework, self-study,or internships.Familiarity with dbt (data build tool) even working through the dbt Learntutorials counts.Experience with any cloud provider (AWS, Azure, or GCP) at the student-projector certification level.Knowledge of orchestration tools such as Apache Airflow or Prefect

Keyskills :
SQLPythondbtSnowflakeData migrationELT pipelinesFivetranApache AirflowDatabricks

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