Job Description

Role: AWS Data Engineer

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Experience: 8+ Years

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Work location: Hyderabad

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Technical Skills:

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Proven experience as a Data Engineer or in a similar role. -

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Solid proficiency in **SQL** scripting.

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Proficiency in **Python** for data manipulation and automation

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Experience with **Apache Airflow** for workflow orchestration

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Hands-on experience with **AWS Cloud services**, including Lambda, DMS, and Glue.

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Solid understanding of data warehousing concepts, with practical experience using **Snowflake**. Enhance Operational Efficiency: Reduce Job Monitoring Time, Decrease Manual Operations.

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Strengthen Data and Infrastructure: Improve Data Quality, Accelerate Cloud Migration .

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Deepen Architectural and Cross-Functional Understanding: Enhance System Architecture Knowledge, Map Cross-Functional Dependencies

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Job Description:

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- Design, develop, and maintain **ETL/ELT data pipelines** to ingest data from various sources, including databases and flat files, into our data warehouse.
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- Utilize AWS services such as **AWS Lambda**, **AWS DMS**, and **AWS Glue** for data ingestion and transformation processes.
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- Develop and optimize **Snowflake stored procedures** to implement complex business logic and data transformations.
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- Manage and monitor scheduled data workflows using **Apache Airflow**.
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- Work closely with stakeholders to understand project requirements and translate them into technical solutions, ensuring seamless integration with existing data pipelines.
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- Implement and maintain robust **data quality checks** to ensure accuracy and reliability of all delivered datasets and reports.
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- Adhere to the full project delivery lifecycle, including requirements gathering, design, implementation, documentation, and obtaining user acceptance testing (UAT) approvals.
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- Deliver data sets to other AWS accounts and support the creation of Power BI reports.
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📌 Senior Data Engineer (Hyderabad)
🏢 ValueLabs
📍 Hyderabad