Databricks Data Engineer

• Designing implementing and improving processes & automation of Data infrastructure.
• Tuning Data pipelines for reliability & performance.
• Building tools and scripts to develop monitor and troubleshoot ETL processes.
• Performing scalability latency and availability tests regularly.
• Conducting code reviews and QA of data imported by various processes.
• Investigating analyzing correcting and documenting reported data defects.
• Creating and maintaining technical specification documentation.

• B.Tech./BS degree in Computer Science Computer Engineering Statistics or other relevant Engineering disciplines.
• Minimum 4 years of professional work experience with at least 2 years of handson experience with Databricks.
• Highly proficient in SQL & Data model (conceptual and logical) concepts.
• Proficiency with Python & Spark (1 year).
• Knowledge of Distributed computing and cloud databases like Redshift BigQuery etc.
• 1 years of handson experience with one of the top cloud platforms AWS/GCP/Azure.
• Experience with Modern Data stack tools like Airflow Terraform DBT Glue Dataproc etc.
• Exposure to Hadoop & Shell scripting is a plus.

• Opportunity to work with cuttingedge technologies and shape the future of data infrastructure.
• Collaborative and dynamic work environment where your ideas are valued.
• Competitive salary and benefits package.
• Room for growth and advancement within the company.

sql,data modeling,python,spark,distributed computing,cloud databases,amazon redshift,gcp,aws,azure,airflow,terraform,dbt,glue,data processing,hadoop,shell scripting,data engineering,data infrastructure