Data Engineer

<div><strong><u> Job Summary</u></strong>&nbsp;</div><div>We are seeking a skilled Data Engineer to join our team and contribute to designing, developing, and managing data solutions, including pipelines and data warehouses. The ideal candidate will handle high-volume data processing, integrate complex data structures, and optimize data storage solutions. You will ensure data reliability, quality, and compliance while collaborating on analytics and business intelligence projects in a diverse technological environment.&nbsp;</div><div><br></div><div><strong><u>Must-Have Skillsets (Mandatory) </u></strong></div><div>- Expertise in Advanced SQL, PLSQL, and handling bulk data processing.&nbsp;</div><div>- Proficiency with databases like Amazon Redshift, Oracle, SQL Server, MySQL, and Postgres.&nbsp;</div><div>- Experience in data modeling, including Star/Dimensional modeling.&nbsp;</div><div>- Knowledge of Data Warehouse development and ETL processes.&nbsp;</div><div>- Experience with structured and semi-structured data ingestion.&nbsp;</div><div>- Familiarity with big data platforms and technologies such as Hadoop, Scala, Spark, Hive, Shell Scripting, and AWS tools like EMR, Lambda, Glue, and Step Function.&nbsp;</div><div>- Strong problem-solving, debugging, and performance-tuning skills.&nbsp;</div><div>- Ability to design and optimize data storage and manage data governance principles.&nbsp;</div><div><br></div><div><strong><u>Good-to-Have Skillsets (Optional) </u></strong></div><div>- Hands-on experience with Hadoop/Big Data environments.&nbsp;</div><div>- Experience with streaming data platforms like Kafka or Flume.&nbsp;</div><div>- Knowledge of data analytics and business intelligence solutions.&nbsp;</div><div>- Proficiency in tools for data integration and orchestration like Sqoop.&nbsp;</div><div><br></div><div><strong><u>Qualifications and Experience </u></strong></div><div>- Bachelor's degree in Computer Science, Information Technology, or a related field.&nbsp;</div><div>- Minimum of [insert years, e.g., 4+ years] experience in database and enterprise data warehouse development.&nbsp;</div><div>- Proven track record of developing and managing complex data pipelines and integrating diverse data sources.&nbsp;</div><div>- Strong analytical and numerical skills with attention to detail.&nbsp;</div><div><br></div><div>This role is ideal for a dynamic professional eager to innovate in a data-driven environment and contribute to transformative projects.</div>