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Barclays Shared Services

Compare

3.9

based on 1.1k Reviews

Video summary

446 Barclays Shared Services Jobs

Lead Data Engineer

Barclays Investment Bank

3.9

based on 1.1k Reviews

2-6 years

Chennai

1 vacancy

Lead Data Engineer

Barclays Shared Services

posted 15hr ago

Job Role Insights

Flexible timing

Key skills for the job

Architecture Fashion Designing Data Governance Data Quality Performance Tuning Metadata Management

Job Description

You'll harness cutting-edge technology to evolutionise our digital offerings, ensuring unparalleled customer experiences..
To be successful as a Lead Data Engineer you should have experience with:.
Big data technologies.
Expertise in Hadoop and its related tools.
Experience in integrating Hadoop with cloud native technologies..
Data warehousing Analytics.
Teradata Deep understanding of architecture , performance tuning and large-scale data integration.
ETL processes.
Proficiency in designing, optimizing and orchestrating ETL workflows.
Ability to implement data integration strategies across multiple heterogenous systems..
SQL/scripting.
Advanced SQL skills for querying and optimizing large datasets.
Experience in Python/Pyspark or other scripting languages for data transformation, automation and orchestration..
Data Governance and Quality.
Strong focus on data governance, metadata management and data quality across entire architecture.
Collaboration Stakeholder management.
Ability to engage with business stakeholders, tech teams and data engineers to define requirements, align data strategies and deliver high value solutions..
Proven experience leading cross-functional teams to execute complex data architectures.
Experience in Agile methodologies..
Some Other Highly Valued Skills May Include.
Cloud platform expertise (AWS).
AWS Data services Proficiency with AWS data related services such as S3, Redshift, Athena, Glue, Lambda.
Cloud Architecture Design Designing cloud-native data architectures, optimizing cost and performance on AWS.
Data modelling and architecture.
Strong understanding of data modelling relational, dimensional.
Experience in designing data lakes, data warehouses and real-time processing pipelines.
Ability to create scalable and high performing architectures across on-prem and cloud environments..
Data warehousing analytics Snowflake Experience in building and managing data pipelines, data models and optimizing performance.
Data Visualization.
You may be assessed on 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 out of Chennai..
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..
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.