Serko Ltd.

Engineering Manager – Data Engineering

Serko Ltd.

full-time

Posted on:

Location Type: Hybrid

Location: Bengaluru • 🇮🇳 India

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Job Level

SeniorLead

Tech Stack

Amazon RedshiftAWSAzureCloudETLGoogle Cloud PlatformKafkaPythonSparkSQL

About the role

  • Lead our Data Engineering team out of Bengaluru
  • Architect scalable data solutions while mentoring a high-performing team
  • Build and optimize data pipelines
  • Ensure data integrity and security
  • Enable advanced analytics and ML capabilities across the organization

Requirements

  • 10+ years of experience in Data Engineering, with at least 3 years in a leadership or managerial role.
  • Has prior experience in leading and growing a team of talented data engineers, fostering a culture of innovation, ownership, and continuous improvement.
  • Architected and implemented robust data platforms using modern cloud technologies (Azure, AWS, GCP).
  • Maintained robust Data Warehousing solutions using Snowflake, Amazon Redshift, and Azure Synapse Analytics.
  • Overseen the design and development of scalable data warehousing solutions and real-time data streaming pipelines.
  • Driven initiatives around data segregation, de-duplication, cleanup, and persistence to ensure high-quality, reliable datasets.
  • Collaborated with cross-functional teams to expose data securely and efficiently for analytics, reporting, and ML Ops.
  • Championed best practices in data security, governance, and compliance across all data systems.
  • Evaluated and integrated emerging technologies to enhance data infrastructure and performance.
  • Established and monitored KPIs for data engineering operations, ensuring alignment with business goals.
  • Has strong command of data warehousing, ETL / ELT pipelines, and real-time data streaming (Kafka, Spark Streaming, Flink).
  • Proven experience with data modelling, data segregation strategies, and data lifecycle management.
  • Hands-on knowledge of data security protocols, encryption standards, and compliance frameworks (GDPR, HIPAA, SOC 2).
  • Familiarity with ML Ops workflows and tools (e.g., ML Flow, Kubeflow, SageMaker, Vertex AI).
  • Proficiency in T-SQL, SQL Expertise and Query Optimization, Python, and distributed computing frameworks.
  • Exposure or Experience with any Marketing Technology platforms (HubSpot, Braze)
  • Has a background in building data platforms for AI / ML applications, AI LLM Based Data Retrieval, AI RAG
  • Excellent communication and stakeholder management skills.
Benefits
  • A competitive base pay
  • Medical Benefits
  • Discretionary incentive plan based on individual and company performance
  • Focus on development: Access to a learning & development platform and opportunity for you to own your career pathways
  • Flexible work policy

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
Data EngineeringData WarehousingETLELTData ModellingData Lifecycle ManagementT-SQLSQLPythonKafka
Soft skills
LeadershipMentoringInnovationOwnershipContinuous ImprovementCommunicationStakeholder Management