Qureos Mentor

IBL UNISYS

About IBL:IBL-Unisys is a leading solutions and service provider in the field of technology. Globally acclaimed, highly reliable products with cutting-edge technology from the world&rsquo;s best-engineered companies and experts uniquely positioned to deliver comprehensive solutions to our customers.Key Responsibilities:Data Pipeline &amp; Dashboard Development<ul><li>Design, develop and maintain scalable &amp; efficient data pipelines to collect, process, and store structured data from multiple sources.</li><li>Build robust ETL (Extract, Transform &amp; Load) processes to support analytics and reporting needs.</li><li>Automate data workflows and ensure timely availability of data for analytics teams.</li></ul>Data Architecture &amp; Infrastructure<ul><li>Assist in developing and maintaining data architectures, including data warehouses, data lakes, and cloud-based storage solutions.</li><li>Optimize database performance, query execution, and system scalability.</li><li>Collaborate with team to ensure data integrity, quality, and security standards are met across platforms.</li></ul>Collaboration &amp; Support<ul><li>Work closely with data scientists, data analyst, and business intelligence teams to understand data requirements and deliver solutions that support analytics and reporting.</li><li>Assist with data integration projects, ensuring seamless connections between various systems and databases</li><li>Provide technical support and troubleshooting for data related issues, ensuring high data availability and accuracy.</li></ul>Data Governance &amp; Compliance<ul><li>Ensure compliance with data governance policies, security protocols, and data privacy regulations.</li></ul>Education &amp; Qualification:<ul><li>Bachelor's degree in computer science, Information Technology, Engineering, or a related field.</li><li>4 to 5 years of experience in data engineering or a related field, with proven experience in building and maintaining data pipelines, ETL processes, and data architectures.</li></ul>Experience:<ul><li>Proficiency in programming languages such as Python, SQL, and Java.</li><li>Hands on experience with data platforms and tools like Hadoop, Spark, Kafka, or similar.</li><li>Familiarity with cloud platforms like AWS, Google Cloud, or Azure.</li><li>Experience with data warehousing tools such as Redshift, BigQuery, or Snowflake.</li><li>Experience in building and managing relational &amp; NoSQL databases (e.g. MySQL, PostgresSQL, MongoDB).</li><li>Solid understanding of data modeling, database design, and ETL principles.</li></ul>Job Type: Full-timeWork Location: In person

BI Data Engineer

Join IBL UNISYS and explore 1   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

IBL UNISYS

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BI Data Engineer