Senior Data Engineer (Databricks & PySpark)
Experienced Data Engineer required to build and maintain cloud-based ETL/ELT pipelines using Databricks Lakehouse Architecture. Responsibilities include developing large-scale data migrations and supporting production data pipelines for financial and regulatory reporting. Requires 12-15 years of overall experience with deep expertise in PySpark, Spark SQL, and AWS ecosystem.
Key Highlights
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Key Responsibilities
Technical Skills Required
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Nice to Have
Job Description
Remote
Only W2 - No Corp to Corp
Open to Sponsorship
Please - NO - OPT's or EAD's
Must have 12-15 years overall exp
Required Skills
- Hands-on experience with Databricks and modern data engineering platforms.
- Strong expertise in PySpark, Spark SQL, Apache Spark, and Databricks Lakehouse Architecture.
- Experience developing cloud-based ETL/ELT pipelines.
- Strong experience with AWS S3, Snowflake, Apache Airflow, and AWS Glue.
- Knowledge of data modeling, data warehousing, and big data processing.
- Experience with JSON, Parquet, Avro, and CSV.
- Hands-on experience with data quality frameworks and monitoring.
- Strong SQL and data analysis skills.
Preferred Skills
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