Senior Data Engineer

About the Client: 

The client specializes in digital transformation, offering solutions that empower businesses to embrace innovation and operational excellence. They focus on integrating digital platforms, designing personalized customer experiences, and streamlining data-driven decisions. By working with this client, professionals engage in transforming industries through technology, collaborating on projects that push the boundaries of digital engineering and data analytics. This role provides a platform to enhance career development within a dynamic, future-focused industry.

Job 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.

What the Client Offers:

• 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.

Apply Today: If driven by innovation and ready to be part of a transformative team, applicants are encouraged to submit their resume and a cover letter outlining their qualifications and why they are the best fit for this role.