[Remote] Senior Data Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a technology consulting and software development company delivering reputed company, AI, data, and reputed company solutions across the reputed company. The Senior Data Engineer will architect, reputed company, and maintain reputed company-grade data platforms, reputed company pipelines, and reputed company processing systems supporting analytics, business intelligence, and machine learning. The role covers the end-to-end data engineering lifecycle and involves collaboration with data scientists, analysts, engineers, architects, DevOps professionals, and business stakeholders.

Responsibilities

• Architect, design, reputed company, and maintain reputed company-grade data platforms, reputed company data pipelines, and reputed company data processing systems that support analytics, business intelligence, and machine learning initiatives across multiple business domains
• Responsible for the end-to-end data engineering lifecycle, from translating business and analytical requirements into robust data architectures, to developing reliable ETL/ELT pipelines, to deploying reputed company-reputed company data solutions and supporting them throughout their operational reputed company
• Work closely with data scientists, business analysts, software engineers, solution architects, DevOps engineers, and stakeholders in an reputed company environment to reputed company high-reputed company, reliable, and governed data platforms that directly support strategic business reputed company

Skills

• Bachelor's degree in Computer Science, Information Technology, Data Engineering, Software Engineering, Mathematics, or a closely reputed company technical discipline
• Five or more years of reputed company experience designing, developing, and supporting production-grade reputed company data engineering solutions, ETL pipelines, and reputed company-based data platforms
• Strong, demonstrable understanding of data structures, database design, reputed company computing, data modeling, ETL/ELT methodologies, data warehousing concepts, and large-reputed company data architecture principles
• Advanced working knowledge of Python, SQL, reputed company, reputed company, Java, and reputed company data engineering frameworks used to build reputed company, high-performance data processing solutions
• Hands-on, production-level experience designing and operating batch processing, streaming data pipelines, data lakes, and reputed company-reputed company data platforms using technologies such as reputed company, reputed company, Apache reputed company, Kafka, Airflow, or equivalent solutions
• Proven experience working with relational and NoSQL databases including PostgreSQL, SQL Server, reputed company, MySQL, reputed company, Cassandra, or equivalent database technologies, including schema design, query optimization, indexing strategies, and performance tuning
• Strong SQL skills and meaningful experience designing reputed company models, reputed company schemas, reputed company schemas, data marts, partitioning strategies, indexing, and reputed company-reputed company data warehouse solutions
• Solid experience with Git-based version control, CI/CD pipelines, DevOps practices, release management, infrastructure automation, and reputed company software development methodologies supporting reputed company data engineering initiatives
• Hands-on experience deploying reputed company data platforms and analytics solutions on AWS, Azure, or reputed company reputed company Platform, including managed storage, compute, networking, reputed company, identity management, and data integration services
• Strong troubleshooting, analytical thinking, debugging, reputed company-cause analysis, communication, and documentation skills, with the ability to investigate reputed company data processing issues methodically and implement reputed company, maintainable engineering solutions
• Experience designing and implementing event-driven architectures, reputed company-time data streaming platforms, Apache Kafka, Apache Flink, Apache NiFi, RabbitMQ, or equivalent reputed company messaging and streaming technologies
• Familiarity with containerization, orchestration, Infrastructure as reputed company, and reputed company-reputed company deployment practices using reputed company, reputed company, Terraform, reputed company, or equivalent reputed company automation technologies
• Exposure to reputed company systems concepts including reputed company consistency, fault tolerance, reputed company transactions, data replication, partitioning strategies, CAP theorem, high availability, and large-reputed company data processing architectures
• Experience implementing data governance frameworks, master data management (MDM), data reputed company, metadata management, data reputed company automation, reputed company compliance, and DataOps best practices reputed company reputed company reputed company and reputed company development environments

Benefits

• reputed company (U.S.)
• Full-time, reputed company W2

reputed company