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Position Summary As a Senior member of our team your contributions will have a huge impact to continually keep up with advancements in our data engineering practices. We are looking for someone who has strong experience in building large-scale data and machine learning pipelines. Major Areas of Responsibility

• You will help evolve and scale our data platform, towards growth
• Generate architecture recommendations and the ability to implement those
• Improve evolving current CI/CD strategy for current jobs and pipelines
• Work with analytics tasks where you need to pull together proof of concepts, that would need optimal extraction, transformation, and loading of data from a wide variety of data sources.

Qualifications/Experience/Knowledge Required

• A tertiary qualification in IT or related field is required.
• Critical to your success will be your experience developing production grade ETL batch and streaming pipelines.
• A solid understanding of the fundamentals in Software Engineering software engineering skills. Experience with at least one of Spark, Scala, Java, Python Proficient in SQL
• Hands on experience with orchestration such as Airflow, and data processing workflows like Apache Beam
• Experience implementing a DataOps framework. Experience with CI/CD highly preferred
• Appreciation of best in class ML infrastructure solutions and ecosystem such as Kubeflow, MLFlow, AWS Sagemaker, etc.
• Strong analytical skills and data-driven decision making. Ability to work with and analyse large amounts of data
• Advanced Knowledge of SQL. Awareness in AWS bigdata environment Athena, Glue, Redshift

Behavioural Competencies Required

• Good communication skills; both written and verbal.
• A good team player.
• Proactive and eager to take ownership.
• Flexible to the needs of the organization.
• A self-motivated leader.

Benefits

• Excellent remuneration package and flexible working in every sense.
• 100% Work from home
• 2 festival bonus, mobile bill, internet bill, health package
• You will be working with a global team of 350+ top notch engineers, cutting edge technologies and tools.