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

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Data Engineer