Title: Sr. Data Engineer

Location: Pleasanton, CA (Day 1 Onsite)

Job: Contract

Job Description :

• Required Qualifications Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or related field.
• 6+ years of professional experience in Data Engineering or Big Data ecosystem roles. Strong hands-on experience with Databricks (PySpark, Spark SQL, Delta Lake, Workflows).
• Proficiency in Python and SQL for building scalable data transformations.
• Expertise in one or more cloud platforms: Azure (ADF, Synapse, Fabric), AWS (Glue, EMR, S3, Lambda), or GCP (Dataflow, BigQuery).
• Experience with data warehousing technologies such as Snowflake, Redshift, Synapse, or BigQuery.
• Familiarity with streaming frameworks like Kafka for real-time data ingestion.
• Strong understanding of data modeling, dimensional modeling, and data architecture principles.
• Experience working with Airflow, CI/CD pipelines, and containerized environments (Docker, Kubernetes).
• Excellent communication and leadership skills, capable of collaborating with distributed teams.
• Preferred Skills Certifications in Databricks, Snowflake SnowPro, or AWS/Azure Data Engineering.
• Experience implementing data governance and metadata management frameworks.
• Knowledge of machine learning pipelines and integration with downstream AI/ML teams.
• Exposure to ELK Stack, Power BI, or Tableau for data visualization. Prior experience building or managing real-time analytics pipelines in large enterprise environments.