Senior Data Engineer

October 1

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Infotree Global Solutions

WebsiteLinkedInAll Job Openings

Contract Staffing • Permanent Placement • Independent Contractor Solutions • Statement Of Work • Global Employer of Record

1001 - 5000 employees

Founded 2002

🎯 Recruitment

👥 HR Tech

🏢 Enterprise

Description

• The client is actively seeking a self-motivated, enthusiastic, and experienced Senior Software Engineer to develop solutions for their proprietary marketplace product. • This position requires a professional who thrives in a technically demanding role, designing and developing with the latest technologies in web applications, data pipelines, big data, machine learning, and multi-cloud environments. • Key Responsibilities: Design and build robust ingestion pipelines using ELT and schema on read in Databricks Delta Lake. Develop transformations within ELT frameworks to modernize ingestion pipelines and scale data transformations. Provide technical expertise in the design and implementation of Ratings Data Ingestion pipelines utilizing modern AWS cloud technologies such as S3, Hive, Databricks, Scala, Python, and Spark. Maintain a high-performance data environment focused on speed, accuracy, consistency, and uptime. Collaborate with data and Data Science teams to develop efficient ingestion pipelines. Implement data governance, quality checks, and data lineage throughout the data handling processes. Stay abreast of emerging trends in big data and cloud technologies, evaluating new technologies for potential adoption. Ensure compliance with enterprise standards and best practices aligned with organizational standards.

Requirements

• Minimum of 8 years of significant experience in application development with a strong background in system architecture, object-oriented design, and design patterns. • Expertise in streaming pipelines, particularly with Kafka and Spark structured streaming. • Proficient in SDLC methodologies such as Agile and test-driven development. • Experience in handling high-volume data and computationally intensive systems. • Knowledge of tuning Java garbage collection and performance optimization. • Proficiency in development environments including IDE, web & application server, GIT, CI tools, unit-testing, and defect management tools. • Domain knowledge in the Financial Industry and Capital Markets is highly desirable. • Excellent communication skills with strong verbal and writing proficiencies.

Benefits

• An unmatched experience in handling massive volumes of data and advanced analytics. • The opportunity to work on converting innovative ideas into revenue-generating streams. • A dynamic work environment where one can mentor teams, innovate, and experiment. • The chance to give a face to business ideas and present to key stakeholders.