Job opening For Data Engineer(BigQuery/Snowflake) @ GlobalData-Hyd

Hello,

Urgent job openings for Data Engineer role @ GlobalData(Hyd).

if requirement is matching to your profile & interested to apply please share your updated resume @ mail id (m.salim@globaldata.com).

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Applying for Data Engineer @ GlobalData(Hyd)

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We are looking for a skilled and experienced Data Delivery Specification (DDS) Engineer to join our data team. The DDS Engineer will be responsible for designing, developing, and maintaining robust data pipelines and delivery mechanisms, ensuring timely and accurate data delivery to various stakeholders. This role requires strong expertise in cloud data platforms such as AWS, Snowflake, and Google BigQuery, along with a deep understanding of data warehousing concepts.

Key Responsibilities

• Design, develop, and optimize data pipelines for efficient data ingestion, transformation, and delivery from various sources to target systems.
• Implement and manage data delivery solutions using cloud platforms like AWS (S3, Glue, Lambda, Redshift), Snowflake, and Google BigQuery.
• Collaborate with data architects, data scientists, and business analysts to understand data requirements and translate them into technical specifications.
• Develop and maintain DDS documents, outlining data sources, transformations, quality checks, and delivery schedules.
• Ensure data quality, integrity, and security throughout the data lifecycle.
• Monitor data pipelines, troubleshoot issues, and implement solutions to ensure continuous data flow.
• Optimize data storage and query performance on cloud data warehouses.
• Implement automation for data delivery processes and monitoring.
• Stay current with new data technologies and best practices in data engineering and cloud platforms.

Required Skills & Qualifications

• Bachelors or Master’s degree in Computer Science, Data Engineering, or a related quantitative field.
• 4+ years of experience in data engineering, with a focus on data delivery and warehousing.
• Proven experience with cloud data platforms, specifically:

• AWS:

  S3, Glue, Lambda, Redshift, or other relevant data services.

• Snowflake:

  Strong experience with data warehousing, SQL, and performance optimization.

• Google BigQuery:

  Experience with data warehousing, SQL, and data manipulation.
• Proficient in SQL for complex data querying, manipulation, and optimization.
• Experience with scripting languages (e.g., Python) for data pipeline automation.
• Solid understanding of data warehousing concepts, ETL/ELT processes, and data modeling.
• Experience with version control systems (e.g., Git).
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams

Thanks & Regards,

Salim

(Human Resources)