TESCO TSA
DataEngineer-PySpark
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Engineer - PySpark at TESCO TSA. Skills: PySpark, Snowflake, AWS, Data Engineering. Build data architectures pipelines. Maintain data architectures pipelines”
What You'll Achieve.
Ensure data is accurate; Ensure data is accessible; Ensure data is secure; Enable transfer of data; Enable processing of data; Manage appropriate data volumes; Manage appropriate data velocity; Adhere to security measures; Fit for intended data complexity; Fit for intended data volumes; Consistently driving continuous improvement; Deliver to consistently excellent standard; Achieve objectives of organisation sub-function; Support successful delivery of projects; Achieve agreed quality standards; Achieve governance standards
Industry & Context.
Resolve problems; Identifying solutions; Selecting solutions; Application of acquired technical experience; Make evaluative judgements; Analysis of factual information
What They're Looking For.
Must Have
pyspark, Dataframes, RDD, SparkSQL, AWS Cloud, AWS Data Analytics Technology Stack, Glue, S3, Lambda, Lake formation, Athena, Snowflake, Data ingestion, Parquet, Iceberg, JSON, CSV, DBT, ELT pipeline development, advanced SQL, PL SQL programs, reusable components, Snowflake and AWS Tools/Technology, two major project implementations, Cloud based Enterprise data warehouse, multiple data platform, Snowflake, NoSQL environment, data movement strategy
Nice to Have
data governance, lineage tools, Immuta, Alation, Orchestration tools, Apache Airflow, Snowflake Tasks, Abinitio ETL tool, Stakeholders, requirements/ user stories, ETL components, infrastructure setup, Data Marts, Data Warehousing concepts, analytical skills, Interpersonal skills
What You'll Do.
Build data architectures pipelines
Maintain data architectures pipelines
Design data warehoused
Implement data warehoused
Develop processing algorithms
Develop analysis algorithms
Build machine learning models
Deploy machine learning models
Perform prescribed activities
Drive continuous improvement
Develop technical expertise
Advise on technical matters
Impact work of related teams
Partner with other functions
Take responsibility for end results
Advise decision making
Influence decision making
Build understanding of sub-function
Build knowledge of organisation products
Demonstrate understanding of coordination
Make evaluative judgements
Persuade team members
Communicate complex information
Communicate sensitive information
Build network of contacts
Support successful delivery
Harness cutting-edge technology
Revolutionise digital offerings
Ensure unparalleled customer experiences
maintain applications
Write PL SQL programs
Build reusable components
Implement Cloud based Enterprise data warehouse
Build data movement strategy
How You'll Work.
Team & Collaboration
Collaboration with data scientist; Lead and supervise a team; Guiding professional development; Supporting professional development; Allocating work requirements; Coordinating team resources; Align across the enterprise; Develop others; Partner with other functions; Work with teams; Guide and persuade team members; Communicate complex / sensitive information; Act as contact point for stakeholders; Building network of contacts outside team; Building network of contacts external to organisation
Communication Scope
Communicate complex / sensitive information; Elicit requirements/ user stories
Process & Methodology
plan, budget, agreed quality, 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
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