Senior Developer (Ab Initio)

To be successful as a Senior Developer (Ab Initio) you should have experience with:

• Design and implement ETL/API solutions with Ab>Initio with massively parallel processing architecture.
• Design , develop and optimize large scale data processing pipelines using PySpark to support data decision making.
• Collaborate with cross functional teams to understand data requirements and deliver solutions.
• Strong understanding of ETL, Ab>Initio, Real Time processing with functional and non-functional assessment for global implementations, Ab>Initio (batch and real-time).
• Strong skills on ETL design patterns and data warehouse architecture.
• Strong Design Data Analytics Skills.
• Hands-on experience in developing complex/medium/easy datasets using SQL tools.
• Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
• Design and implementation of data warehouse and data lakes that would manage the appropriate data volumes and velocity and adhere to the required security measures.
• Development of processing and analysis algorithms fit for the intended data complexity and volumes.

Some other highly valued skills may include:

• Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organization.
• Exceptional communication and interpersonal skills.
• Exposure to AWS.
• Development and application of advanced analytical techniques, including machine learning and AI, to solve complex business problems.

You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.

This role is based in Pune.

Purpose of the role

To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.

Accountabilities

• Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
• Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
• Development of processing and analysis algorithms fit for the intended data complexity and volumes.
• Collaboration with data scientist to build and deploy machine learning models.

Analyst Expectations

• Will have an impact on the work of related teams within the area.
• Partner with other functions and business areas.
• Takes responsibility for end results of a team s operational processing and activities.
• Escalate breaches of policies / procedure appropriately.
• Take responsibility for embedding new policies/ procedures adopted due to risk mitigation.
• Advise and influence decision making within own area of expertise.
• Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct.
• Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function.
• Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Make evaluative judgements based on the analysis of factual information, paying attention to detail.
• Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.
• Guide and persuade team members and communicate complex / sensitive information.
• Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.