Role Overview
We are looking for a passionate Senior Data Engineer with deep expertise in AWS-based data solutions. In this role, you will design, deploy, and optimize cloud-native data pipelines and frameworks that enable high-performance analytics and data-driven decision-making. You’ll work as an individual contributor in a dynamic environment—solving complex data challenges, ensuring cost efficiency, and driving excellence in cloud architecture.
Key Responsibilities
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Design, deploy, and manage data solutions leveraging AWS services such as S3, Lambda, SNS, Cloud Step Functions, and MWAA (Airflow orchestration).
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Process large volumes of structured and semi-structured data efficiently and securely.
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Build and optimize data lakes and manage configurations using Delta Tables.
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Implement scalable data integration frameworks aligned with business and technical needs.
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Apply strong cost optimization and performance tuning strategies for compute and storage workloads.
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Collaborate with cross-functional teams to ensure data quality, governance, and lineage.
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Communicate effectively with IT stakeholders and business teams, understanding pain points to deliver impactful solutions.
Required Skills & Experience
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4–8 years of experience in Data Engineering with strong hands-on exposure to AWS services.
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Proficiency in PySpark, S3, Lambda, SNS, Cloud Step Functions, and MWAA (Airflow).
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Strong understanding of data lake architecture, ETL design, and Delta Table configurations.
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Proven track record in data transformation, data pipeline automation, and metadata management.
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Sound knowledge of computing, performance optimization, and cost management on AWS.
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Experience with data governance principles, metadata management, and data lineage tracking is an advantage.
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Excellent communication and stakeholder management skills.
Why Join Us?
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Be part of a fast-growing global analytics leader recognized for innovation and excellence.
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Work with cutting-edge AWS technologies and modern data engineering frameworks.
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Collaborate with top minds in analytics, data science, and cloud architecture.
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Enjoy a collaborative culture that values learning, growth, and experimentation
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.