Company
DataEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Engineer. Skills: Data pipelines, Data warehouses, Data lakes, Data processing, Data analysis, AWS, Snowflake, pyspark, SQL. 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.. Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.”
What You'll Achieve.
ensure that all data is accurate, accessible, and secure.; enable the transfer and processing of durable, complete and consistent data.; manage the appropriate data volumes and velocity and adhere to the required security measures.; Ensure unparalleled customer experiences.
Industry & Context.
Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.; Make evaluative judgements based on the analysis of factual information, paying attention to detail.
What They're Looking For.
Must Have
Hands on experience in pyspark and knowledge on Dataframes, RDD and SparkSQL, Hands on Experience in developing, testing and maintaining applications on AWS Cloud., 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., 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.
Nice to Have
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
What You'll Do.
Build and maintain the systems that collect
such as data pipelines
data warehouses and data lakes to ensure that all data is accurate
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.
supporting the successful delivery of Location Strategy projects to plan
agreed quality and governance standards.
spearhead the evolution of our digital landscape
driving innovation and excellence.
harness cutting-edge technology to revolutionise our digital offerings
ensuring unparalleled customer experiences.
How You'll Work.
Team & Collaboration
Collaboration with data scientist to build and deploy machine learning models.; They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.; Partner with other functions and business areas.; Guide and persuade team members; Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.
Communication Scope
Communicate complex / sensitive information
Process & Methodology
supporting the successful delivery of Location Strategy projects to plan, budget, agreed quality and governance standards.
Full Job Description
# **Job Description** **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** * To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. * Requires in-depth technical knowledge and experience in their assigned area of expertise * Thorough understanding of the underlying principles and concepts within the area of expertise * They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. * 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 develop technical expertise in work area, acting as an advisor where appropriate. * 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 respon
Applying for this Data Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about this company?
Real rants from real employees. Read before you apply.