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Snowflake DBT - Hyderabad

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Cognizant

18d ago

Applications are closed

  • Job
    Full-time
    Mid, Senior & Expert Level
  • Data
    IT & Cybersecurity
  • Hyderabad, +1

Requirements

  • Skill: Snowflake DBT
  • Experience: 4 to 16 years
  • Location: Hyderabad
  • Walkin date: 8th Feb 25

Responsibilities

  • Design and implement robust data pipelines using DBT and Snowflake.
  • Collaborate with analytics and data science teams to understand data requirements.
  • Develop and manage ETL processes to extract, transform, and load data efficiently.
  • Maintain and optimize existing data models and pipelines for performance and reliability.
  • Ensure data quality by implementing verification and validation checks.
  • Perform data transformations and aggregation using SQL and other tools.
  • Work on performance tuning for data processing jobs.
  • Document data engineering practices, procedures, and workflows for team reference.
  • Participate in code reviews to ensure best practices are followed.
  • Monitor data pipeline performance and troubleshoot issues promptly.
  • Stay updated on industry trends and emerging technologies related to data engineering.
  • Design and implement data security measures to protect sensitive information.
  • Assist in migration efforts from on-premise to cloud-based data solutions.
  • Contribute to data governance initiatives and policies.
  • Support business intelligence solutions through effective data modeling.

FAQs

What is the required experience for the Snowflake DBT position?

The required experience for this position is between 4 to 16 years.

Where is the job location for the Snowflake DBT role?

The job location for this role is in Hyderabad.

When is the walk-in interview scheduled?

The walk-in interview is scheduled for 8th February 2025.

What technologies are primarily used in this role?

The primary technologies used in this role are DBT and Snowflake.

What are the key responsibilities of this position?

Key responsibilities include designing and implementing data pipelines, collaborating with analytics teams, managing ETL processes, ensuring data quality, and optimizing data models and pipelines.

Will I be required to perform data transformations and aggregations?

Yes, you will be required to perform data transformations and aggregations using SQL and other tools.

Is documentation a part of the job responsibilities?

Yes, documenting data engineering practices, procedures, and workflows for team reference is part of the job responsibilities.

Will I be involved in data security measures?

Yes, you will be responsible for designing and implementing data security measures to protect sensitive information.

Is there an opportunity for code reviews in this role?

Yes, you will participate in code reviews to ensure best practices are followed.

Will this position involve migrating data solutions to the cloud?

Yes, assisting in migration efforts from on-premise to cloud-based data solutions will be part of the role.

Are there opportunities to support business intelligence solutions?

Yes, you will be expected to support business intelligence solutions through effective data modeling.

Is there a focus on data governance in this position?

Yes, you will contribute to data governance initiatives and policies as part of your responsibilities.

Consulting
Industry
10,001+
Employees

Mission & Purpose

Cognizant is a multinational technology company that provides a wide range of IT services and solutions to organisations worldwide. Their primary focus is on helping businesses transform and thrive in the digital age. Cognizant's mission and purpose are centred around delivering innovative and cutting-edge technology solutions that drive client success. They offer services such as digital strategy, consulting, technology implementation, and IT outsourcing, enabling companies to adapt to evolving market dynamics, enhance operational efficiency, and deliver exceptional customer experiences. Cognizant's ultimate goal is to empower their clients with the tools, insights, and capabilities needed to navigate complex technological landscapes and achieve their business objectives in an increasingly digital world.