The Data Engineer will build and maintain data systems, ensuring accurate and secure data collection, storage, processing, and analysis. Responsibilities include developing data architectures, implementing data warehouses and lakes, and collaborating with data scientists on machine learning models. The role may also involve supervising a team and ensuring compliance with internal and external standards.
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 meet the needs of stakeholders/ customers through specialist advice and support
- Perform prescribed activities in a timely manner and to a high standard which will impact both the role itself and surrounding roles.
- Likely to have responsibility for specific processes within a team
- They may lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. They supervise a team, allocate work requirements and coordinate 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 manage own workload, take responsibility for the implementation of systems and processes within own work area and participate on projects broader than direct team.
- Execute work requirements as identified in processes and procedures, collaborating with and impacting on the work of closely related teams.
- Check work of colleagues within team to meet internal and stakeholder requirements.
- Provide specialist advice and support pertaining to own work area.
- 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 all teams in area contribute to the objectives of the broader sub-function, delivering impact on the work of collaborating teams.
- Continually develop awareness of the underlying principles and concepts on which the work within the area of responsibility is based, building upon administrative / operational expertise.
- Make judgements based on practise and previous experience.
- Assess the validity and applicability of previous or similar experiences and evaluate options under circumstances that are not covered by procedures.
- Communicate sensitive or difficult information to customers in areas related specifically to customer advice or day to day administrative requirements.
- Build relationships with stakeholders/ customers to identify and address their needs.
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.
Join us as a Data Engineer at Barclays where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionise our digital offerings, ensuring unapparelled customer experiences. You may be assessed on the key critical skills relevant for success in role, such as:
- Familiarity with AWS data services
- Should have actual project experience and able to demonstrate understanding of existing project.
- Should have exposure to Pyspark development.
- Should have experience in orchestrating ETL/ELT jobs in Cloud Ecosystem
- Strong Technical knowledge:
- AWS services – Glue, EMR, CloudFormation, Lake Formation, IAM, Lambda, Redshift
- Coding Languages – Python, SQL
- Bigdata technologies – Spark, PySpark, Hive
This role is based in Pune.
Top Skills
Python
SQL
Similar Jobs
Be an Early Applicant
The Data Engineer will build and maintain data architectures, pipelines, and data lakes, ensuring data accuracy, accessibility, and security while collaborating with data scientists. Responsibilities include developing processing algorithms, leading a team, and enhancing operational processes while adhering to risk management protocols.
Be an Early Applicant
The Data Engineer will design and maintain data architectures, including pipelines, data warehouses, and data lakes. Responsibilities include ensuring data accuracy, security, and accessibility while collaborating with data scientists on machine learning models. Additionally, the role involves team leadership and continuous improvement initiatives.
Senior Data Engineers at Hitachi Solutions are responsible for delivering high-quality modern data solutions in collaboration with clients and teams. They work on a range of projects varying in duration and complexity, focusing on architecture, data science, and utilizing Azure technologies to drive innovative data solutions.
What you need to know about the Mumbai Tech Scene
From haggling for the best price at Chor Bazaar to the bustle of Crawford Market, the energy of Mumbai's traditional markets is a key part of the city's charm. And while these markets will always have their place, the city also boasts a thriving e-commerce scene, ranking among the largest in the region. Driven by online sales in everything from snacks to licensed sports merchandise to children's apparel, the local industry is worth billions, with companies actively recruiting to meet the demands of continued growth.
