Data Engineer

Job Title: Data Engineer

Location: Remote (Must be willing to travel 75–80% to client locations. All travel and accommodation expenses will be covered by the client.)

Interview Process
Candidates must be comfortable with the following interview process:

HackerRank Assessment
Technical Video Interview
Client HackerRank Assessment
Client Technical Video Interview
Job Summary
We are seeking an experienced Data Engineer to design, build, and optimize scalable data solutions that support advanced analytics and business intelligence initiatives. The ideal candidate should have strong expertise in big data technologies, programming, and data engineering best practices, along with the flexibility to travel extensively to client locations as required.

Key Responsibilities
Design, develop, and maintain scalable data pipelines and data engineering solutions.
Clean, transform, and aggregate large datasets for analytics and reporting.
Build, optimize, and manage distributed data processing systems.
Develop complex SQL queries and ensure high data quality and performance.
Implement and maintain database systems, disaster recovery, and data reliability strategies.
Work closely with cross-functional teams and client stakeholders to understand business requirements and deliver data-driven solutions.
Optimize data workflows using modern big data technologies.
Required Skills & Qualifications
Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field (or equivalent experience).
Hands-on experience building data engineering solutions for advanced analytics.
Strong expertise in Hadoop, Spark, and other big data technologies.
Proficiency in Python, Java, SQL, and Scala.
Experience with advanced analytics and machine learning tools such as Anaconda and Spark ML.
Strong understanding of distributed data processing and database management.
Excellent analytical, problem-solving, communication, and collaboration skills.
Ability to adapt quickly and work in dynamic client environments.
Willingness to travel up to 75–80% as required.
Preferred Skills
Experience with cloud-based data platforms.
Knowledge of data warehousing, ETL/ELT processes, and data governance.
Experience working in Agile development environments.