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Assistant Manager - Data Engineering

Assistant Manager - Data Engineering

LatentView Analytics

0 - 8 years

0 Lacs

chennai tamil nadu

Posted:1 day ago| Platform: Indeed logo

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Skills Required

data engineering software splunk governance inventory audit archiving retention management automate checks query storage automation security spl tuning clustering macros mapping indexing scoping indexes onboarding parsing api scripting python powershell siem

Work Mode

On-site

Job Description

About the Client : Adobe

Adobe Inc. is an American multinational computer software company that creates products for creative professionals, marketers, and document management.

Designation: Assistant Manager - Data Engineering
Experience: 4 to 8 years
Location: Chennai, Tamil Nadu, India (CHN)
Job Description:

Splunk Data Governance & Engineering Specialist (1 L3 1 L2 Offshore)

Key Responsibilities

Data Source Inventory & Analysis

Build and maintain a master inventory of Splunk log sources (owner, ingestion path, volume, use case, retention).

Audit ingestion vs. usage; identify redundant/noisy data sources.

Flag low-value data for removal, archiving, or downsampling.

Governance Framework & Standards

Define ownership, classification, and schema standards across all Splunk sources.

Enforce consistent retention and lifecycle management policies.

Normalize high-value log sources to OCSF/ECS/Splunk CIM standards.

Apply tagging and metadata for sensitivity, retention, and business use cases.

Ingestion & Transformation Controls

Filter noisy/heartbeat events before ingest.

Apply field renaming, enrichment, and transformation pipelines.

Ensure metadata (owner, system, retention) is automatically attached at ingest.

Data Quality & Monitoring

Build dashboards for field completeness, timestamp accuracy, and event health.

Automate enforcement of retention checks and ingestion anomaly detection.

Run periodic governance reviews to ensure sources stay aligned with standards.

Operational Impact

Improve Splunk query performance and detection accuracy.

Reduce storage costs by enforcing governance and pruning unused data.

Establish sustainable governance through automation and oversight.

Responsibilities:

Required Skills & Experience

Splunk Core Expertise

Strong hands-on experience with Splunk Enterprise and Splunk Enterprise Security (ES).

Proficiency in SPL for advanced queries, performance tuning, and dashboards.

Knowledge of indexer/search head clustering, forwarder management, data models, and knowledge objects (macros, lookups, field extractions).

Experience with Splunk CIM and mapping log sources to normalized schemas.

Familiarity with data models, accelerations, summary indexing, and performance tuning at scale.

Data Governance & Security

Experience defining log source ownership, classification, and retention frameworks.

Strong understanding of RBAC in Splunk (roles, capabilities, scoping by indexes and apps).

Ability to create governance policies for onboarding, lifecycle management, and access control.

Data Engineering & Automation

Experience with data ingestion and parsing in Splunk (forwarders, HEC, API-based inputs).

Strong skills in log transformation/enrichment (field parsing, timestamp correction, renaming, metadata tagging).

Scripting in Python, Bash, or PowerShell for automation of Splunk admin and governance tasks.

Desired Background

4–7 years of Splunk engineering/administration experience, ideally in large-scale enterprise security environments.

Prior experience cleaning up data sprawl in SIEM or Splunk environments.

Strong analytical and problem-solving mindset; comfortable in fast-paced, dynamic settings.

Bonus: Security knowledge (SIEM/UEBA use cases, detection tuning, MITRE ATT&CK alignment).

Skills:

4 to 8 years in the Splunk domain

Splunk Enterprise and Splunk Enterprise Security, Security knowledge (SIEM/UEBA use cases, detection tuning, MITRE ATT&CK alignment).

Job Snapshot

Updated Date

04-11-2025

Job ID

J_4321

Location

Chennai, Tamil Nadu, India

Employee Type

Permanent

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Assistant Manager - Data Engineering