Data Engineer

K&K Global Talents is an international recruiting agency that has been providing technical resources globally since 1993. This position is with one of our clients in India who is actively hiring candidates to expand their teams.

Job title: Data Engineer

Location: Hyderabad

Employment Type: FTE

Work Mode: On-site

Shift Timing: 07:30 PM IST onwards

Job Description:

We are looking for a highly skilled Senior Data Engineer to join the Data Science team and help build scalable, reliable, and production-grade data infrastructure that powers machine learning models, experimentation, and operational decision-making.

Key Responsibilities:

• Design, develop, and maintain scalable DBT models that produce reliable datasets, features, and business metrics.
• Build and optimize Databricks / PySpark pipelines to process large-scale operational and analytical data.
• Develop production-ready workflows using Airflow and Prefect with strong SLA adherence.
• Create and maintain Delta/Iceberg tables and lakehouse data architectures.
• Partner closely with Data Scientists and ML Engineers to productionize feature engineering pipelines.
• Improve performance, scalability, and cost efficiency of Spark and DBT workloads.
• Implement strong data quality, testing, documentation, and monitoring practices.
• Participate in peer code reviews and contribute to engineering best practices.

Required Skills:

• Strong hands-on experience in SQL, DBT, Databricks, PySpark, Airflow, AWS, and Amazon Redshift .
• Experience working with distributed data systems and large-scale data processing.
• Good understanding of data modeling, orchestration, and pipeline optimization.
• Experience with Infrastructure-as-Code tools such as T erraform, AWS CDK, or Pulumi.
• Familiarity with Delta Lake / Iceberg architectures.
• Experience with A WS data services and cloud-based data engineering architectures.
• Strong communication and collaboration skills.

Nice to Have:

• Experience with Kinesis or other streaming systems.
• Exposure to MLOps or ML/AI teams.
• Experience working with globally distributed engineering teams.
• Familiarity with AI-assisted engineering tools such as Cursor, Copilot, or Claude Code.