Data Engineer

Job Description : Purpose of the role

To enable data-driven strategic and operational decision making through extracting actionable insights from large datasets, performing statistical and advanced analytics to uncover trends and patterns, and presenting findings through clear visualisations and reports.

Accountabilities

Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification, documenting data sources, methodologies, and quality findings with recommendations for improvement.

Designing and building data pipelines to automate data movement and processing.

Apply advanced analytical techniques to large datasets to uncover trends and correlations, develop validated logical data models, and translate insights into actionable business recommendations that drive operational and process improvements, leveraging machine learning / AI.

Through data-driven analysis, translate analytical findings into actionable business recommendations, identifying opportunities for operational and process improvements.

Design and create interactive dashboards and visual reports using applicable tools and automate reporting processes for regular and ad-hoc stakeholder needs.

Assistant Vice President Expectations

To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions / business divisions.

Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes

If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are : L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.

OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and / or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.

Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.

Identify ways to mitigate risk and developing new policies / procedures in support of the control and governance agenda.

Take ownership for managing risk and strengthening controls in relation to the work done.

Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.

Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.

Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.

Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.

Influence or convince stakeholders to achieve outcomes

Experience :

Hands on experience in pyspark and strong knowledge on Dataframes, RDD and SparkSQL

Hands on Experience in developing, testing and maintaining applications on AWS Cloud.

Strong hold on AWS Data Analytics Technology Stack (Glue, S3, Lambda, Lake formation, Athena)

Design and implement scalable and efficient data transformation / storage solutions using Snowflake.

Experience in Data ingestion to Snowflake for different storage format such Parquet, Iceberg, JSON, CSV etc

Experience in using DBT (Data Build Tool) with snowflake for ELT pipeline development.

Experience in Writing advanced SQL and PL SQL programs.

Hands On Experience for building reusable components using Snowflake and AWS Tools / Technology

Should have worked at least on two major project implementations.

Exposure to data governance or lineage tools such as Immuta and Alation is added advantage.

Experience in using Orchestration tools such as Apache Airflow or Snowflake Tasks is added advantage.

Knowledge on Abinitio ETL tool is a plus

Some other highly valued skills may include :

Ability to engage with Stakeholders, elicit requirements / user stories and translate requirements into ETL components

Ability to understand the infrastructure setup and be able to provide solutions either individually or working with teams.

Good knowledge of Data Marts and Data Warehousing concepts.

Resource should possess good analytical and Interpersonal skills.

Implement Cloud based Enterprise data warehouse with multiple data platform along with Snowflake and NoSQL environment to build data movement strategy.