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Tookitaki Technologies - Deployment Engineer - Kafka / Hadoop

Tookitaki Technologies - Deployment Engineer - Kafka / Hadoop

TOOKITAKI TECHNOLOGIES PRIVATE LIMITEDBangalore
30+ days ago
Job description

Position Overview

Job Title : Deployment Engineer

Department : Services Delivery

Location : Multiple (Based on region)

Reporting To : Regional Head of Service Delivery

The Deployment Engineer plays a critical role in deploying Tookitakis FinCense platform across client environmentsboth on-premise and cloud-hosted (CaaS).

Focused on pipeline management, data validation, scripting, and client configuration, this role is central to successful onboarding and operational readiness of client systems.

The role requires hands-on experience with big data tooling, automation, and real-time production troubleshooting.

Position Purpose

The Implementation Engineer ensures seamless data pipeline deployment, validation, and monitoring, tailored to specific client environments and ingestion needs.

The role provides technical support to client stakeholders and collaborates with internal teams for configuration, ingestion testing, and ingestion automation.

It is regionalized in CaaS environments and dual-resourced in on-premise deployments alongside Infrastructure Engineers.

Key Responsibilities

Data Pipeline Deployment & Validation

  • Build and manage ingestion workflows using Spark, Hive, Trino, and Kafka.
  • Validate data ingestion, debug pipeline outputs, and support delta loads.
  • Create and schedule Airflow DAGs for recurring ingestion processes.

Automation & Scripting

  • Use Python and Bash (or PowerShell) to automate ingestion validations.
  • Implement monitoring scripts for ingestion health and trigger alerts.
  • Environment Readiness

  • Execute cron jobs, debug logs, and monitor job performance in live environments.
  • Tune processes at OS level and handle Linux CLI-based deployments.
  • Client Configuration & Support

  • Collaborate with clients on ingestion pipelines, metadata definitions, and readiness checks.
  • Participate in technical walkthroughs, UATs, and deployment reviews.
  • Operationalization Support

  • Manage ingestion triggers, validate alerting, and handover to Support team post-deployment.
  • Qualifications and in Computer Science, Engineering, or related years in data integration, Hadoop / Spark deployments, or platform configuration.

    Must-Have Technical Skills :

  • Hadoop, Spark, Hive, Trino, Kafka, Airflow.
  • Python, Bash / Powershell scripting.
  • Linux administration.
  • SQL for joins, debugging, validation.
  • Soft Skills :

  • Strong communication for client handling.
  • Analytical and troubleshooting Competencies :
  • Pipeline operationalization and reliability.
  • Automation-first mindset.
  • Detail-oriented client configuration handling.
  • Agile collaboration with cross-functional Metrics :
  • Ingestion readiness with zero critical UAT gaps.
  • Successful cron / airflow orchestration in production.
  • High client satisfaction with deployment responsiveness.
  • Low issue volumes post go-live due to thorough Tookitaki :
  • Tookitaki : The Trust Layer for Financial Services.

    Tookitaki is transforming financial services by building a robust trust layer that focuses on two crucial pillars : preventing fraud to build consumer trust and combating money laundering to secure institutional trust.

    Our trust layer leverages collaborative intelligence and a federated AI approach, delivering powerful, AI-driven solutions for real-time fraud detection and AML (Anti-Money Laundering) compliance.

    (ref : hirist.tech)

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    Deployment Engineer • Bangalore

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