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Data Engineer ( Snowflake, Bigquery, Redshift)
Data Engineer ( Snowflake, Bigquery, Redshift)

Data Engineer ( Snowflake, Bigquery, Redshift) at Infraveo Technologies Private Limited · Remote only · 4 - 5 years · ₹9.6L - ₹12L / yr · Bootstrapped · Remote only · Posted 30 Sep 2024

Infraveo Technologies Private Limited's logo

Data Engineer ( Snowflake, Bigquery, Redshift)

Ridhi Choudhary's profile picture
Posted by Ridhi Choudhary
4 - 5 yrs
₹9.6L - ₹12L / yr
Remote only
Skills
SQL
RESTful APIs
skill iconPython
pandas
ETL

We are seeking a Data Engineer ( Snowflake, Bigquery, Redshift) to join our team. In this role, you will be responsible for the development and maintenance of fault-tolerant pipelines, including multiple database systems.


Responsibilities:

  • Collaborate with engineering teams to create REST API-based pipelines for large-scale MarTech systems, optimizing for performance and reliability.
  • Develop comprehensive data quality testing procedures to ensure the integrity and accuracy of data across all pipelines.
  • Build scalable dbt models and configuration files, leveraging best practices for efficient data transformation and analysis.
  • Partner with lead data engineers in designing scalable data models.
  • Conduct thorough debugging and root cause analysis for complex data pipeline issues, implementing effective solutions and optimizations.
  • Follow and adhere to group's standards such as SLAs, code styles, and deployment processes.
  • Anticipate breaking changes to implement backwards compatibility strategies regarding API schema changesAssist the team in monitoring pipeline health via observability tools and metrics.
  • Participate in refactoring efforts as platform application needs evolve over time.


Requirements:

  • Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or a related field.
  • 3+ years of professional experience with a cloud database such as Snowflake, Bigquery, Redshift.
  • +1 years of professional experience with dbt (cloud or core).
  • Exposure to various data processing technologies such as OLAP and OLTP and their applications in real-world scenarios.
  • Exposure to work cross-functionally with other teams such as Product, Customer Success, Platform Engineering.
  • Familiarity with orchestration tools such as Dagster/Airflow.
  • Familiarity with ETL/ELT tools such as dltHub/Meltano/Airbyte/Fivetran and DBT.
  • High intermediate to advanced SQL skills (comfort with CTEs, window functions).
  • Proficiency with Python and related libraries (e.g., pandas, sqlalchemy, psycopg2) for data manipulation, analysis, and automation.


Benefits:

  • Work Location: Remote
  • 5 days working​


You can apply directly through the link:https://zrec.in/e9578?source=CareerSite


Explore our Career Page for more such jobs : careers.infraveo.com



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About Infraveo Technologies Private Limited

Founded :
2017
Type :
Services
Size :
20-100
Stage :
Bootstrapped

About

N/A

Company social profiles

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