Senior Big Data Engineer (Scala + Spark)

Grid Dynamics; Fatih; On-site; TRY 1,269,035 - 2,115,059; Full time

Benefits offered by this job

Opportunity to work on bleeding-edge projects

Competitive salary

Flexible schedule

Professional development opportunities

Job summary

A technology consulting firm is seeking an experienced Big Data Engineer to develop high-performance data analytics platforms. This role involves designing and maintaining data pipelines and workflows, ensuring data quality, and collaborating with teams to provide data solutions. Ideal candidates should possess strong skills in Spark, HDFS, and Scala. Competitive salary, flexible schedule, and professional development opportunities are offered.

Qualifications

• Proven experience as a Data Engineer or in a similar role.
• Strong proficiency in Spark, HDFS, and Airflow.
• Solid programming skills in Scala.

Responsibilities

• Design, develop, and maintain robust data pipelines.
• Implement scalable and efficient data workflows.
• Develop and maintain continuous reporting systems.

Skills

Spark

HDFS

Airflow

Scala

Data pipeline architecture

Problem-solving

Communication

Collaboration

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

Kubernetes

Gradle

Job description

3 days ago Be among the first 25 applicants

We are looking for an experienced Big Data Engineer to support the development of high-performance data analytics platforms handling petabytes datasets.

Responsibilities

• Design, develop, and maintain robust data pipelines using Scala, Spark, HDFS, Gradle, Kubernetes, and Airflow.
• Implement scalable and efficient data workflows to support data ingestion, processing, and analysis.
• Develop and maintain continuous reporting systems and dashboards to provide real-time insights.
• Collaborate with cross-functional teams to understand data requirements and deliver data solutions.
• Optimize and tune data processing systems for performance and reliability.
• Ensure data quality and integrity throughout the data lifecycle.
• Troubleshoot and resolve data processing and pipeline issues.
• Stay up-to-date with industry trends and emerging technologies to drive innovation in data engineering.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven experience as a Data Engineer or in a similar role.
• Strong proficiency in Spark, HDFS, and Airflow.
• Solid programming skills in Scala.
• Experience with data pipeline architecture and implementation.
• Expertise in building and maintaining continuous reporting systems and dashboards.
• Familiarity with data warehousing concepts and technologies.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.
• Ability to work independently and in a remote team environment.

We offer

• Opportunity to work on bleeding-edge projects.
• Work with a highly motivated and dedicated team.
• Competitive salary.
• Flexible schedule.
• Professional development opportunities.

About Us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• IT Services and IT Consulting