GCP Data Engineer/Associate Director, Data and Analytics (Hyderabad, TG, IN, 500032)

HSBC
Hyderabad
Workplace: OnsiteFull timeFunction: Data Analytics & Business IntelligenceSkills: ["Continuous improvement","Planning","Risk tracking","Cross-functional collaboration","Guiding engineering through complexity"]

Lead a technical team delivering data and analytics business use cases, coordinating end-to-end business delivery with strong planning, risk tracking, and engineering standards. Drive continuous delivery and DevOps practices using operational metrics (e.g., DORA) and agile delivery. Own data delivery across Python, Dataflow, Pub/Sub, BigQuery, Hadoop, NiFi/Kafka, and Cloud SQL, while staying current on applied AI/ML (including generative and agentic AI) to improve automation, observability, and developer productivity.

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FursaFursa
HSBC
HSBC
1 month ago

GCP Data Engineer/Associate Director, Data and Analytics (Hyderabad, TG, IN, 500032)

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Last checked: 11 hours agoStatus: Live

Job Summary

Lead a technical team delivering data and analytics business use cases, coordinating end-to-end business delivery with strong planning, risk tracking, and engineering standards. Drive continuous delivery and DevOps practices using operational metrics (e.g., DORA) and agile delivery. Own data delivery across Python, Dataflow, Pub/Sub, BigQuery, Hadoop, NiFi/Kafka, and Cloud SQL, while staying current on applied AI/ML (including generative and agentic AI) to improve automation, observability, and developer productivity.
Location: Hyderabad
Workplace: Onsite
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Director level

Key Responsibilities

  • •Lead technical team efforts to deliver business data/analytics use cases.
  • •Coordinate, plan, and execute end-to-end business delivery, including progress/risk/raids tracking and communication.
  • •Guide engineers and teams through complexity while raising engineering standards through day-to-day actions.
  • •Drive modern delivery and operations practices using end-to-end ownership, continuous delivery/DevOps, and operational metrics (e.g., DORA).
  • •Identify practical opportunities to embed AI (including generative AI) into data and engineering workflows such as automation and observability improvements.

Key Requirements

  • •Lead technical teams to deliver data and analytics business use cases with strong continuous improvement ownership.
  • •Demonstrated data delivery leadership using Python with GCP services such as Dataflow, Pub/Sub, BigQuery, and Cloud SQL.
  • •Experience with data platforms and pipelines including Hadoop and NiFi/Kafka, plus RDBMS integration.
  • •Solid understanding of GCP console concepts and tools such as BQ/GCS, Git, Jenkins, Airflow, Pub/Sub/Kafka, and CI/CD.
  • •Knowledge of agentic AI frameworks and practical ability to embed AI into data and engineering workflows while maintaining engineering quality.
Skills:Continuous improvementPlanningRisk trackingCross-functional collaborationGuiding engineering through complexity
Tech Stack:PythonDataflowPub/SubBigQueryHadoopNiFiKafkaRDBMSCloud SQLGCPGCSGitJenkinsAirflowCI/CDDevOpsDORAArtificial IntelligenceGenerative AIAgentic AI frameworks

Company Brief

HSBC
Global banking and financial services organisation offering retail, commercial, corporate and investment banking, wealth management, and global markets services across Europe, Asia, the Americas and the Middle East.
Industry: Banking
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: London, United Kingdom
Founded: 1865
Glassdoor
Glassdoor: 3.6
WebsiteLinkedIn