13 days ago

GCP Data Engineer

HSBC

On Site
Full Time
$120,000
Pune Division, Maharashtra, India
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Job Overview

Job TitleGCP Data Engineer
Job TypeFull Time
Offered Salary$120,000
LocationPune Division, Maharashtra, India
Map of Pune Division, Maharashtra, India

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Job Description

GCP Data Engineer / Consultant Specialist

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.

Department: CTO Data - Data Tech IWPB & UK - Data Tech IWPB

In This Role, You Will

  • Design and deliver batch and streaming ETL/ELT pipelines to ingest data from multiple sources into GCP.
  • Gather requirements with stakeholders and translate business needs into scalable data solutions.
  • Build Apache Beam pipelines on GCP Dataflow for extraction, transformation, and analytical preparation.
  • Integrate data from databases, APIs, and flat files while enforcing data quality, consistency, and governance.
  • Manage and optimise GCP storage/warehouse layers (BigQuery, Cloud Storage) for analytics and reporting.
  • Orchestrate and automate workflows using Airflow/Cloud Composer; reduce manual operations through automation.
  • Implement observability (monitoring/alerting), troubleshoot bottlenecks, and ensure SLA/SLO adherence.
  • Lead SRE practices: reliability strategy, incident response, post-mortems, documentation, security/compliance, and continuous improvement.

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

  • Bachelor’s degree in Computer Science/IT (or equivalent experience).
  • Proven ETL/ELT experience: data modelling, data warehousing concepts, and strong SQL.
  • Strong GCP experience (certification preferred), especially BigQuery/Cloud Storage/Dataflow.
  • Big data batch + streaming expertise (e.g., Kafka, Spark/Flink, Hadoop/Hive/HBase, dbt).
  • Proficiency in Java and/or Python for data engineering and data manipulation.
  • Proven SRE/DevOps experience: architecture, reliability, automation, and operational excellence.
  • Incident management capability: on-call/response, RCA, and post-mortem execution.
  • Strong communication and problem-solving; experience with AI/LLM (preferably financial services).

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

Key skills/competency

  • GCP Data Engineering
  • ETL/ELT Design and Delivery
  • Apache Beam on Dataflow
  • BigQuery and Cloud Storage Management
  • Airflow/Cloud Composer Orchestration
  • SRE Practices
  • Data Integration
  • SQL Proficiency
  • Python/Java Development
  • AI/LLM Experience

Tags:

GCP
Data Engineer
ETL
ELT
BigQuery
Dataflow
Cloud Storage
Airflow
Python
Java
SQL
SRE
DevOps
Apache Beam
Kafka
Spark
Flink
dbt
Data Modeling
Data Warehousing
AI
LLM
Financial Services

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How to Get Hired at HSBC

  • Tailor your resume: Highlight GCP, ETL/ELT, SQL, Python/Java, and SRE experience.
  • Showcase GCP expertise: Mention specific services like BigQuery, Dataflow, and Cloud Storage.
  • Demonstrate SRE/DevOps skills: Emphasize automation, reliability, incident management, and CI/CD.
  • Prepare for technical questions: Be ready to discuss data modeling, warehousing, and big data concepts.
  • Understand HSBC's values: Align your communication with their focus on culture and development.

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