This job has expired

This job posting is no longer active and is not accepting applications. Explore similar roles below!

HSBC
Posted 1w ago

GCP Data Engineer / Associate Director, Data and Analytics

HSBC
Hyderabad or Pune
HybridFull Time
Responsibilities
  • designing solutions
  • leading reviews
  • driving excellence
Requirements
  • Experienced data engineer with cloud-native solution design
  • Data engineering
  • Reference architecture, CI/CD
  • Testing
  • DevOps
  • Operational metrics
  • Platform engineering, and AI/ML knowledge
Technical tools mentioned
CI/CDDORAAI/MLGenerative AIDevOps

Job description

Some careers shine brighter than others.

If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.

HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions.

We are currently seeking an experienced professional to join our team in the role of Associate Director, Data and Analytics

In this role, you will: 

  • Serve as the cloud-native and data engineering SME, leading end-to-end solution design and implementation on open-source stacks across multiple tenants.
  • Lead Data Platform as a Service solution design and reviews; make clear trade-offs across resilience, performance, cost, and time-to-market.
  • Drive engineering excellence across CI/CD, automated testing, code quality, and release governance.
  • Lead by doing (not managing): guide engineers and teams through complexity and raise engineering standards through day-to-day actions.
  • Define reference architectures and reusable patterns for ingestion, transformation, and serving on cloud-native technology stacks with Open Source First mindset.
  • Bring modern delivery and operations experience: end-to-end ownership, DevOps practices, and use of operational metrics (e.g., DORA).
  • Apply broad engineering exposure across platform/infrastructure/function-as-a-service, plus agile values-based delivery.
  • Maintain an AI/ML evolution focus: stay current on applied AI (including Generative AI) and identify practical opportunities to embed AI into data/engineering workflows while maintaining engineering quality.

To be successful in this role, you should meet the following requirements: 

  • Strong engineering fundamentals and continuous improvement mindset; willing to learn the best tool/language for the problem.
  • Proven experience designing and delivering cloud-native and data engineering solutions end-to-end.
  • Demonstrable ability to define and govern reference architectures and reusable engineering patterns.
  • Practical experience driving CI/CD, automated testing, code quality and release governance standards.
  • Strong understanding of resilience/performance/cost/time-to-market trade-offs in platform design.
  • Modern DevOps operating model experience with measurable operational outcomes (e.g., DORA metrics).
  • Broad exposure across platform, infrastructure and/or serverless/function-as-a-service engineering.
  • Working knowledge of AI/ML trends (including GenAI) and how to apply them responsibly to engineering workflows

You’ll achieve more when you join HSBC.

www.hsbc.com/careers

HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.

Issued by – HSBC Software Development India

About HSBC

Global banking and financial services provider.

Similar jobs

Data Engineer roles near Hyderabad, Telangana
9h
Save
Mark Applied
Hide
Senior Data Engineer
Hyderabad, Telangana, India
OnsiteFull Time
Milestone Technologies
Milestone Technologies: Global provider of IT managed services and digital solutions.
5+ YOEBachelor's degree in a technical field, 5+ years designing and supporting data pipes, 2+ years automating ETL data quality measurement, and Azure Data Services experience.
Microsoft SQL Server, Azure Data Catalog, Azure Blob Storage, Azure Data Lake Storage, Azure Synapse Analytics, Azure Analysis Services, Azure Data Factory, Power BI, DAX, PowerShell, Azure DevOps, Python, CI/CD, ETL
10h
Save
Mark Applied
Hide
Staff Data Engineer
Hyderabad, Telangana, India
OnsiteFull Time
ServiceNow
ServiceNowNYSE: NOW: Provides a cloud platform for automating enterprise digital workflows.
9+ YOERequires 9+ years building production data pipelines, warehouses, and ETL/ELT systems; 3+ years with ML or AI systems; expertise in SQL, Python, JavaScript, distributed processing, cloud platforms, APIs, and data governance.
SQL, Python, JavaScript, GCP, AWS, APIs, Now LLM Service, ServiceNow
12h
Save
Mark Applied
Hide
Azure Senior Data Lead
Hyderabad, Telangana, India
OnsiteFull Time
HCLTech
HCLTechNational Stock Exchange of India: HCLTECH: Global technology providing digital, engineering, and cloud services.
Bachelor’s degree in computer science, information technology, or related field; strong Azure, Databricks, ADF, Synapse, ETL, SQL, and relational database skills required.
Microsoft Azure, T-SQL, SSIS, SSAS, SSRS, Azure Data Factory (ADF), Azure Databricks, Azure Synapse Analytics, Azure DevOps, Azure Storage, Azure Data Lake, ETL, SQL, Relational databases, Python, Spark APIs, Agile, Scrum, Oracle
13h
Save
Mark Applied
Hide
Senior / Lead Data Engineer - Azure Databricks
Hyderabad, Telangana, India
OnsiteFull Time
Blend360
Blend360: Provides data science, AI, and marketing consulting services.
5+ YOERequires 5+ years in data engineering, SQL and Python, Azure Databricks, semantic and KPI modeling, data quality, ETL/ELT, Git, data governance, and stakeholder collaboration.
Databricks Metric Views, SQL, Python, Azure Databricks, Git, Azure DevOps, RBAC
1d
Save
Mark Applied
Hide
Data Engineer
Hyderabad, Telangana, India
OnsiteFull Time
Milestone Technologies
Milestone Technologies: Global provider of IT managed services and digital solutions.
5+ YOEBachelor's degree in a technical field, 5+ years building and supporting data pipes, 2+ years automating ETL data quality measurement, and experience with Azure Data Services, SQL Server, Azure DevOps, PowerShell, and Python.
SQL Server 2016, Microsoft Azure, Azure Data Catalog, Azure Blob Storage, Azure Data Lake Storage, Azure Synapse Analytics, Azure Analysis Services, Azure Data Factory, Power BI, DAX, PowerShell, Azure DevOps, Python, ETL, CI/CD
1d
Save
Mark Applied
Hide
Data Engineer
Hyderabad, Telangana, India
OnsiteFull Time
Accenture
AccentureNYSE: ACN: Global professional services firm providing consulting and technology solutions.
3+ YOERequires 3+ years of SnapLogic experience, strong data integration, pipeline development, ETL, data quality, troubleshooting, and 15 years of full-time education. AWS BigData is preferred.
SnapLogic, AWS BigData
1d
Save
Mark Applied
Hide
Data Engineer
Hyderabad, Telangana, India
HybridFull Time
L'Oréal
L'OréalEuronext Paris: OR: Manufactures and sells personal care, skincare, and cosmetic products globally.
4+ YOEBachelor's or master's degree and 4–6 years of data engineering experience. Requires GCP, SQL, Python, Spark, cloud data platforms, ETL/ELT, orchestration, governance, CI/CD, and Agile expertise.
Google Cloud Platform (GCP), BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, Cloud Composer, SQL, Python, Apache Spark, Apache Airflow, Git, CI/CD
1d
Save
Mark Applied
Hide
Lead - Data Engineer
Hyderabad or Navi Mumbai or Gurgaon or Hyderabad
HybridFull Time
Jacobs
JacobsNYSE: J: Global provider of professional engineering and technical services.
10+ YOERequires 10–12 years in data engineering, warehousing, or big data; expertise in cloud platforms, Microsoft Fabric, Databricks, ETL/ELT, data architecture, databases, governance, security, and enterprise-scale solutions.
Microsoft Azure, AWS, Google Cloud Platform (GCP), Microsoft Fabric, Lakehouses, Data Pipelines, Notebooks, Dataflows, Semantic Models, OneLake, Databricks, PySpark, Delta Lake, Unity Catalog, Databricks Workflows, Structured Streaming, SQL, NoSQL, Apache Spark, REST APIs, Web Services, Event Streaming, Power BI, Tableau, CI/CD, DevOps, Infrastructure as Code (IaC)
This job has expired