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Job Description

Job Description :


Key Responsibilities :


- Data Architecture & Strategy : Design and build scalable and reliable data architectures, data warehouses, and data lakes.

- ETL/ELT Pipeline Development : Architect, build, and optimize complex ETL/ELT processes to ingest, transform, and load data from diverse sources.

- Cloud Platform Expertise : Leverage extensive experience with cloud platforms, particularly AWS, to build and manage data infrastructure and services.

- Data Modeling : Develop and implement robust data modeling strategies to ensure data integrity and efficient querying.

- Big Data Technologies : Utilize big data technologies and distributed computing frameworks to process and analyze large volumes of data.

- API Integration : Work with various APIs to integrate external data sources into our data ecosystem.

- Performance Optimization : Tune database queries and optimize data pipelines to improve performance and efficiency.

- Cross-functional Collaboration : Work closely with data scientists, analysts, and software engineers to understand data requirements and deliver impactful solutions.


Required Skills & Qualifications :


- 7- 10 years of professional experience in data engineering.

- Strong proficiency in Python and SQL.

- Deep expertise in data warehousing concepts and implementation.

- Hands-on experience in building and optimizing ETL processes.

- Proven experience with cloud platforms, with a strong focus on AWS.


- Experience with big data technologies (e.g., Apache Spark, Hadoop).

- Solid understanding of data modeling principles.

- Experience working with APIs for data integration.

- Excellent communication skills for effective collaboration and stakeholder interaction.


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