AWS Data Engineer

<p><strong>Company Overview</strong></p><p><br></p><p>Optical Arc Pvt. Ltd. is a full-service company of custom software development, mobile application, database management system (DBMS), data visualization, ALM, PLM, and website development. We provide end-to-end solutions tailored to our clients' unique needs. With a team of 11-50 dedicated employees, we are committed to helping businesses grow and succeed.</p><p><br></p><p><strong>Job Overview</strong></p><p><br></p><p>This is a senior-level position with a focus on AWS data engineering. The candidate should have 7 to 10 years of experience in data engineering and be proficient in AWS, Python, SQL, Apache, and Hadoop. The job location is Pune, Maharashtra, India, and the employment type is Full-Time.</p><p><br></p><p><strong>Qualifications and Skills</strong></p><p><br></p><ul><li>7 to 10 years of experience in data engineering with a focus on AWS.</li><li>Strong proficiency in AWS services and tools, such as S3, Redshift, Glue, and Athena.</li><li>Proficiency in programming languages, particularly Python, for data engineering tasks.</li><li>Solid understanding of SQL and database concepts.</li><li>Experience with Apache Hadoop and related technologies, such as Spark and Hive.</li><li>Familiarity with data visualization and business intelligence tools.</li><li>Strong problem-solving and analytical skills.</li><li>Excellent communication and collaboration abilities.</li><li>Ability to work independently and as part of a team.</li></ul><p><br></p><p><strong>Roles and Responsibilities</strong></p><p><br></p><ul><li>Designing, developing, and maintaining scalable and secure AWS data engineering solutions.</li><li>Building data pipelines and ETL processes to extract, transform, and load data from various sources.</li><li>Optimizing data storage and retrieval for performance and cost efficiency.</li><li>Collaborating with cross-functional teams to understand data requirements and translate them into technical solutions.</li><li>Troubleshooting and resolving data-related issues and maintaining data integrity.</li><li>Monitoring and ensuring the availability, reliability, and performance of AWS data engineering infrastructure.</li><li>Keeping up-to-date with the latest technologies and best practices in AWS data engineering.</li><li>Providing technical guidance and mentoring to junior data engineers in the team.</li></ul><p><br></p><p><br></p><p><br></p><p><br></p>