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Data Engineer

Data Engineer

Persistent

2 - 7 years

8 - 18 Lacs

bengaluru

Posted:19 hours ago| Platform:

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Skills Required

identity access management iam data access management

Work Mode

Work from Office

Job Type

Full Time

Job Description

About Position:

This role involves terminating legacy batch SQL jobs, re-pointing feeds via NDM, and pushing IAM data into a Cyber Data Lake built on Hadoop. The engineer will design and implement push-based, near real-time ingestion pipelines with transformation logic applied during ingestion, enabling scalable, secure, and audit-ready IAM datasets.

Role: Data Engineer
Location: Bangalore
Experience: 2 to 8 years
Job Type: Full Time Employment

What You'll Do:

We are looking for a Data Engineer with strong expertise in Hadoop ecosystem, ETL development, and data transformation logic, focused on modernizing IAM data flows.
Modernization & Migration Decommission existing batch SQL jobs and migrate to modern ingestion architecture.
Re-point upstream and downstream feeds using NDM for secure data transfers.
Onboard IAM datasets into a Cyber Data Lake (Hadoop) with optimized storage formats (Parquet/ORC) and partitioning.
Pipeline Development & Transformation Build ETL/ELT pipelines using Spark/Hive to perform transformations during ingestion (schema mapping, normalization, deduplication).
Implement push-based near real-time ingestion (event-driven or micro-batch) instead of scheduled pulls.
Apply complex IAM-specific transformation logic for identities, accounts (human & non-human), roles, entitlements, and policies.
Data Quality & Observability Define and automate data quality checks (completeness, accuracy, referential integrity).
Implement monitoring, logging, and alerting for ingestion pipelines and NDM transfers.
Performance & Optimization Tune Spark jobs, Hive queries, and storage strategies for scale and cost efficiency.
Optimize resource allocation and implement backpressure controls for streaming ingestion.
Security & Compliance Enforce least privilege and secure handling of sensitive IAM attributes (PII).
Maintain metadata, lineage, and data dictionaries; ensure compliance with audit requirements.

Expertise You'll Bring:

5-8 years of experience in Data Engineering, with exposure to IAM data and modernization projects. Strong hands-on experience with Hadoop ecosystem: HDFS, Hive, Spark (SQL/Scala/PySpark).
Proven experience in ETL/ELT design, data transformation logic, and pipeline optimization.
Experience terminating legacy batch SQL jobs and migrating to modern ingestion patterns.
Practical knowledge of NDM for secure data transfers.
Expertise in push-based ingestion and near real-time data processing.
Understanding of IAM concepts: identities, service/non-human accounts, roles, entitlements, policies.
Preferred Skills Familiarity with cloud big data platforms (AWS EMR, Azure HDInsight, GCP Dataproc) and lakehouse technologies (Delta/Hudi/Iceberg).
Experience with workflow orchestration tools (Airflow, Oozie, Azure Data Factory).
Knowledge of Kafka or similar streaming platforms for event-driven ingestion.
Proficiency in Python/Scala for Spark jobs and automation.
Exposure to IAM platforms (Azure AD/Entra, SailPoint, Okta) and compliance frameworks (SOX, ISO 27001).
Core Competencies Modernization mindset: Ability to replace legacy systems with scalable, real-time solutions.
Performance optimization: Skilled in tuning distributed jobs and storage for efficiency.

Benefits:

Competitive salary and benefits package
Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
Opportunity to work with cutting-edge technologies
Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
Annual health check-ups
Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents

Values-Driven, People-Centric & Inclusive Work Environment:

Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.

We support hybrid work and flexible hours to fit diverse lifestyles.
Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment

Let's unleash your full potential at Persistent

"Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."

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Data Engineer