Data Engineer ( Snowflake, Bigquery, Redshift)
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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Core sales Experience
Lead generation
Technical Sales Engineer
Should be from Mechanical Background.
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Interested candidates please apply ASAP.
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ABOUT COMPANY
StyleCracker is India’s largest personal styling platform. By seamlessly combining data science with human expertise, the Company has reinvented the way Indian’s consume fashion and has democratized personal styling at incredible scale.
Our Core Value Proposition
- Convenient - the boxes are delivered to your doorstep, saving you time and effort.
- Personalised- your box is curated by your own personal stylist based on your preferences.
- Value For Money- we are able to offer our customers considerable value, well over the amount they pay for the box.
Responsibilities and Duties
- Outgoing sales calls (not cold calls) to customers and assisting them with their purchase process and guiding them about how StyleCracker works with our various offerings.
- Tracking daily and monthly reports of the calls and conversions made.
- Training new joinees with pitching and other guidance.
- Visiting StyleCracker events and do on ground sales.
Key Skills
Communications, Telecommunication, Inside Sales
Required Experience and Qualifications
- Excellent communication skills. Proficient in English
- Good Convincing Power
- Event Handling.
- Target Oriented
- Budget: 20 ,000 - 25,000 + incentives
- Job Type: Full-time
Location:
Mumbai, Dadar