Senior Big Data Administrator

Ithinka IT and IoT Technologies; Turkey; On-site; TRY 450,000 - 750,000; Full time

Job summary

Ithinka IT and IoT Technologies in Turkey seeks a Senior Big Data Administrator to design, install, and operate enterprise-grade big data platforms, balancing on‑premises and cloud workloads. You will ensure stability, performance, and scalability while automating maintenance, capacity planning, and troubleshooting in collaboration with cross-functional teams.

Ideal candidates have 6+ years in big data, strong Hadoop ecosystem expertise, and hands-on security experience with LDAP/SSL/Kerberos,

Qualifications

• 6+ years of experience in Big Data Administration / Operations.
• Strong expertise in big data ecosystems, both cloud-based and on-premises.
• Hands-on experience with Hadoop ecosystem tools and distributed systems.
• Experience in managing and administering open-source applications and data platforms.
• Strong problem-solving, analytical, and troubleshooting skills.
• Proactive mindset with a passion for learning and adopting new technologies.
• Strong verbal and written communication skills in English.
• Experience with security operations such as LDAP, SSL, Kerberos and similar configurations.

Responsibilities

• Design, install, configure, operate, and maintain big data platforms and tools.
• Ensure the stability, performance, reliability, and scalability of big data infrastructures.
• Monitor big data platforms and automate operational and maintenance tasks.
• Perform troubleshooting, system tuning, and capacity planning.
• Work closely with technical and business teams to analyze requirements and provide infrastructure solutions.
• Manage and support high-volume data processing environments.

Skills

Big Data Administration

Cloud & On-Prem

Data Platform Engineering

Problem Solving

English Communication

Education

Bachelor's or Master's in Computer Engineering/CS/Math/Data-related field

Tools

Ambari

Hadoop

Kafka

NiFi

MiNiFi

Spark

Flink

DolphinScheduler

Airflow

Iceberg

HBase

Cloudera

Job description

Join our Big Data & Cloud Team and take a key role in managing, operating, and scaling enterprise-grade big data platforms.

We are looking for a highly skilled and experienced Senior Big Data Administrator who is passionate about managing complex big data environments using modern technologies. If you enjoy working with large-scale data ecosystems—both on-premises and in the cloud—this is a great opportunity to make a real impact.

Responsibilities

• Design, install, configure, operate, and maintain big data platforms and tools
• Ensure the stability, performance, reliability, and scalability of big data infrastructures
• Monitor big data platforms and automate operational and maintenance tasks
• Perform troubleshooting, system tuning, and capacity planning
• Work closely with technical and business teams to analyze requirements and provide infrastructure solutions
• Manage and support high-volume data processing environments

Core Technologies:

Install, configure, and operate tools such as:

Additional Big Data Technologies:

Ambari, Hadoop, Kafka, NiFi, MiNiFi, Spark, Flink, DolphinScheduler, Airflow, Iceberg, HBase, Cloudera and similar big data ecosystem tools.

Desired Skills & Experience

• Bachelor’s or Master’s degree in Computer Engineering, Computer Science, Mathematics, Information Systems, Industrial Engineering, or a related field
• 6+ years of experience in Big Data Administration / Operations
• Strong expertise in big data ecosystems, both cloud-based and on-premises
• Hands-on experience with Hadoop ecosystem tools and distributed systems
• Experience in managing and administering open-source applications and data platforms
• Strong problem-solving, analytical, and troubleshooting skills
• Proactive mindset with a passion for learning and adopting new technologies
• Strong verbal and written communication skills in English

Security Experience (Key Plus)

• Experience with security operations such as:
• Basic Authentication, LDAP, SSL, Kerberos and similar security configurations

Nice to Have

• Experience with Kubernetes and Docker stack for container orchestration and platform management

Optional / Plus Skills

The following skills are not mandatory but will be considered a plus:

• Experience in developing, testing, deploying, and maintaining batch and streaming data pipelines
• Experience in batch data processing and real-time streaming technologies
• Knowledge of SQL/NoSQL, ETL pipelines, and data lake architectures

What Do We Expect from You Personally?

• Strong attention to detail and a quality-first mindset
• Ownership and accountability from start to finish
• A team-oriented attitude with excellent collaboration skills
• Curiosity and motivation to stay up to date with evolving data technologies