Data Engineer

Role: Data Engineer
Location: Hyderabad ( Hybrid)

Job Description:
Hands-on experience with Databricks (Spark), the GCP ecosystem including (BigQuery, DataProc, Dataflow, Pub/Sub, Cloud Storage), ETL/ELT pipeline development, data modeling, data warehousing, plus understanding of AI/ML integration and DevOps practices for building scalable, secure, and efficient data solutions on Google Cloud.

• Proficient in Python, SQL, and Shell scripting, with knowledge of Docker containerization and Cloud data processing technologies
• Understanding cloud architecture, security, and best practices
• Using a variety of open-source technologies (Python, Spark, Airflow), build data pipelines to extract, cleanse, and integrate data, from a variety of sources and formats Python experience is required
• Develop scalable solutions that support real-time, batch, and event-based data processing
• Collaborate effectively with other members of the engineering team and broader data services group, including but not limited to Data Scientists, Analytics Engineers, Performance Engineers, Software Engineers and Business Intelligence Analysts
• Conduct research and present findings to the data science team and business stakeholders
• Collaborate with the team in Agile Sprint Planning, demos, seminars, and other team meetings.
• Strong problem-solving skills; collaborator
• Excellent verbal and written communicator self-motivated with a desire to learn from a rapidly growing company

Job Type: Full-time

Pay: ₹516,021.65 - ₹1,873,637.25 per year

Benefits:

• Paid sick time
• Work from home

Work Location: Hybrid remote in Hyderabad, Telangana