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AWS Data Engineer

<div><strong>Job Title:</strong> AWS Data Engineer</div><div><strong>Location:</strong> Gurgaon / Hyderabad</div><div><strong>Experience:</strong> 1.6 – 6 years</div><div><strong>About the Role:</strong></div><div> We are seeking a skilled AWS Data Engineer with strong expertise in data engineering tools and cloud technologies. The ideal candidate should have hands-on experience in <strong>Snowflake, Python, and SQL, with exposure to AWS Glue.</strong> Candidates with experience in DBT, Redshift, and Lambda will have an added advantage.</div><div><strong>Key Responsibilities:</strong></div><ul><li>Design, develop, and maintain scalable data pipelines and ETL workflows on AWS.</li><li>Work extensively with <strong>Snowflake</strong>, <strong>Python</strong>, and <strong>SQL</strong> to process, transform, and analyze data.</li><li>Optimize and maintain existing data architectures to ensure high performance and cost efficiency.</li><li>Integrate data from multiple sources into a unified data warehouse.</li><li>Collaborate with data analysts, data scientists, and business stakeholders to meet data requirements.</li><li>Implement data governance, quality checks, and best practices in data engineering.</li><li>Leverage AWS services such as <strong>Redshift</strong> and <strong>Lambda</strong> for data processing tasks.</li><li>Use <strong>DBT</strong> (if applicable) for data modeling and transformation in the ELT framework.</li><li>Troubleshoot data pipeline issues and perform root cause analysis.</li></ul><div><strong>Required Skills (Mandatory):</strong></div><ul><li><strong>Snowflake</strong> – Data warehouse development, performance tuning, and query optimization</li><li><strong>Python</strong> – Scripting for automation and data processing</li><li><strong>SQL</strong> – Advanced query writing and optimization skills</li><li><strong>AWS Glue</strong></li></ul><div><strong>Preferred / Optional Skills:</strong></div><ul><li><strong>DBT</strong> – Data transformation and modeling</li><li><strong>AWS Redshift</strong> – Data warehousing and analytics</li><li><strong>AWS Lambda</strong> – Serverless data processing</li></ul><div><strong>Qualifications:</strong></div><ul><li>Bachelor’s degree in Computer Science, Information Technology, or a related field.</li><li>1.6 – 6 years of hands-on experience in data engineering roles.</li><li>Strong problem-solving skills and ability to work in fast-paced environments.</li><li>Good communication and collaboration skills.</li></ul>