Data Analyst
hackajob · Pune Division, Maharashtra, India
- On site
- Full-time
- $120,000 / year
- Pune Division, Maharashtra, India
Job highlights
- Design and build data pipelines.
- Leverage advanced analytics and ML/AI.
- Create dashboards and automate reporting.
- Collaborate with cross-functional teams.
- Drive data-driven decision making.
About the role
Data Engineer at Barclays
hackajob is collaborating with Barclays to connect them with exceptional professionals for this role.
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 unparalleled customer experiences. As a part of a team of developers, you will deliver technology stack, using strong analytical and problem-solving skills to understand the business requirements and deliver quality solutions.
Core Ab Initio Skills
- GDE (graphs, XFR, plans, PSETs, DQE)
- EME (versioning, branching, tagging)
- Conduct‑IT / Control Center
- Continuous Flows, PDL, metadata‑driven design
Big Data Skills
- Hadoop Ecosystem: HDFS, Hive, Yarn, MapReduce basics
- Optional/Good to Have: Spark (PySpark/Scala), HBase, Kafka streaming interfaces
- Strong knowledge of distributed computing concepts (partitions, parallelism, memory tuning)
Databases & Languages
- SQL (HiveQL, Teradata, Oracle)
- Unix/Linux shell scripting
- Python (preferred but optional)
Tools & Scheduling
- Autosys / Tivoli / Control‑M
- Git, Bitbucket, Jenkins (CI/CD exposure)
Other Highly Valued Skills
- Strong analytical and debugging abilities.
- Ability to operate in fast‑paced, large‑scale data environment.
- Excellent communication and stakeholder management skills.
- Ownership mindset with proactive problem‑solving.
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 Pune.
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 (or Individual Contributor equivalent)
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.
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.
Key skills/competency
- Data Engineer
- Ab Initio
- Hadoop
- SQL
- Python
- Data Pipelines
- Machine Learning
- Data Visualization
- Stakeholder Management
- Problem Solving
Skills & topics
- Data Engineer
- Ab Initio
- Hadoop
- SQL
- Python
- Data Pipelines
- Big Data
- Data Analysis
- ETL
- Cloud Computing
- Software Engineering
- Data Modeling
- Data Warehousing
- Business Intelligence
- Machine Learning
- AI
- Data Visualization
- Reporting
- Unix
- Linux
- Shell Scripting
- Spark
- HBase
- Kafka
- CI/CD
- Jenkins
- Git
- Bitbucket
- Agile
How to get hired
- Tailor your resume: Highlight your Ab Initio, Hadoop, SQL, and Python skills.
- Showcase problem-solving: Provide examples of complex data challenges you've overcome.
- Demonstrate communication: Emphasize stakeholder management and influencing abilities.
- Research Barclays' values: Align your application with their culture of Integrity and Excellence.
- Prepare for technical questions: Brush up on distributed computing and data modeling concepts.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the core Ab Initio skills required for the Data Engineer role at Barclays?
- The Data Engineer role at Barclays requires strong proficiency in Ab Initio, including GDE (graphs, XFR, plans, PSETs, DQE) and EME (versioning, branching, tagging). Experience with Conduct-IT/Control Center, Continuous Flows, PDL, and metadata-driven design is also essential.
- Does Barclays require experience with Big Data technologies for this Data Engineer position?
- Yes, Barclays seeks candidates with experience in the Hadoop Ecosystem (HDFS, Hive, Yarn, MapReduce basics). Familiarity with Spark (PySpark/Scala), HBase, and Kafka streaming interfaces is considered a plus. A strong understanding of distributed computing concepts is also expected.
- What programming languages and databases are important for a Data Engineer at Barclays?
- Proficiency in SQL (HiveQL, Teradata, Oracle) and Unix/Linux shell scripting is required. While Python is preferred, it's considered optional for this Data Engineer role at Barclays. Exposure to tools like Git, Bitbucket, and Jenkins (CI/CD) is also valued.
- What are the key expectations for a Data Engineer at Barclays, beyond technical skills?
- Beyond technical expertise, Barclays expects Data Engineers to possess strong analytical and debugging abilities, excel in fast-paced environments, demonstrate excellent communication and stakeholder management skills, and exhibit an ownership mindset with proactive problem-solving. For leadership roles, the LEAD behaviors (Listen, Energize, Align, Develop) are crucial.
- How does Barclays approach data-driven decision-making for its Data Engineers?
- Barclays empowers Data Engineers to enable data-driven strategic and operational decision-making. This involves extracting insights from large datasets, performing advanced analytics, identifying trends, and presenting findings through clear visualizations and reports to drive business improvements.
- What is the primary purpose of the Data Engineer role at Barclays?
- The primary purpose of the Data Engineer role at Barclays is to enable data-driven decision making by extracting actionable insights, performing advanced analytics, and presenting findings clearly to support strategic and operational goals.
- Are there opportunities for growth or leadership within the Data Engineer role at Barclays?
- Yes, the role outlines expectations for leadership, including leading teams, coaching employees, and demonstrating specific leadership behaviors (LEAD). Individual contributors also lead collaborative assignments and guide team members, indicating pathways for growth and influence.