Abrar Admin

SeaCube Container Leasing

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 Summary
 
 
 
 We are seeking a highly skilled Data Engineer to build and manage our data infrastructure. The ideal candidate will be an expert in writing complex SQL queries, designing efficient database schemas, and developing ETL/ELT pipelines. You will ensure data is accurate, accessible, and optimized for performance to support business intelligence, analytics, and reporting needs.
 
 
 
 
 
 
 Key Responsibilities
 
 
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 Database Design &amp; Management: Design, develop, and maintain relational databases (e.g. SQL Server, Progress SQL, Oracle) and cloud-based data warehouses.
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 Strategic SQL and Data Engineering: Develop sophisticated, optimized SQL queries, stored procedures, and functions to process and analyze large, complex datasets for actionable business insights.
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 Data Pipeline Automation &amp; Orchestration: Help build, automate, and orchestrate ETL/ELT workflows utilizing SQL, Python, and cloud-native tools to integrate and transform data from diverse, distributed sources.
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 Performance Optimization: Tune queries and optimize database schema (indexing, partitioning, normalization) to improve data retrieval and processing speeds.
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 Data Integrity &amp; Security: Ensure data quality, consistency, and integrity across systems. Implement data masking, encryption, and role-based access control (RBAC).
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 Documentation: Maintain technical documentation for database schemas, data dictionaries, and ETL workflows.
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 Required Skills and Qualifications
 
 
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 Education: Bachelor&rsquo;s degree in computer science, Information Systems, or a related field.
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 SQL Mastery: 5+ years of experience with advanced SQL (window functions, CTEs, query optimization).
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 Database Expertise: Deep understanding of relational database management systems (RDBMS) and data modeling techniques.
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 Cloud Platforms: Demonstrated experience with Azure Data Services and other data warehouse technologies.
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 Programming: Proficiency in Python for scripting and data manipulation.
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 ETL Tools: Familiarity with tools like SSIS or Azure Data Factory.
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 Soft Skills: Strong analytical thinking, problem-solving, and communication skills.
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 Nice to Have
 
 
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 Experience with NoSQL databases (Cosmos DB, MongoDB).
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 Experience with big data frameworks (Apache Spark, Kafka).
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 Relevant certifications (e.g., Microsoft Certified: Azure Data Engineer Associate, Google Professional Data Engineer).
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 Typical Work Environment
 
 
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 Tools Used: SQL IDEs (DBeaver, SSMS), Cloud Consoles, Git, Jira, SSIS.
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 Industry: Leasing.
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 All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, national origin, or veteran status
 
 
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Data Engineer

Join SeaCube Container Leasing 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.

SeaCube Container Leasing

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Data Engineer