Senior SQL and ETL Engineer

Overview

Remote
Depends on Experience
Contract - W2

Skills

Apache Spark
Apache Parquet
Apache Hadoop
Big Data
Business Intelligence
Data Cleansing
ELT
DevOps
Data Warehouse
Data Quality
Microsoft Power BI
Python
PySpark
Microsoft SSIS
JSON
PL/SQL
Oracle
Performance Tuning
XML
Modeling
IBM Cognos Analytics
Continuous Integration
Microsoft SQL Server
Extract
Transform
Load
Continuous Delivery
Reporting
Auditing
Mainframe
Regulatory Reporting
Workflow
Transact-SQL
Teradata
Stored Procedures
Analytics
Microsoft Azure
SQL
Writing
Data Extraction
Mapping
Data Processing
Computerized System Validation
Root Cause Analysis
Cloud Computing

Job Details

Job Role: Senior SQL and ETL Engineer

Location: Downey, CA (Remote)

Duration: 12 Months Contract

Experience Required:

This classification must have a minimum of seven (7) years of experience in electronic data processing systems study, design, and programming. At least four (4) years of that experience must have been in a lead capacity.

Additional Experience Required:

  • 3 years of experience in the past 4 years developing and optimizing SQL, PL/SQL, and T-SQL logic, including stored procedures, functions, performance tuning, and advanced relational modeling across Oracle and SQL Server.
  • 3 years of experience in the past 4 years working with mainframe including data extraction, mapping, and conversion into modern ETL/ELT pipelines.
  • 3 years of experience in the past 4 years designing, orchestrating, and deploying ETL/ELT pipelines using Azure Synapse Analytics, Azure Data Factory, SSIS, and Azure DevOps CI/CD workflows.
  • 3 years of experience in the past 4 years building and maintaining enterprise data warehouses using Oracle, SQL Server, Teradata, or cloud data platforms.
  • 3 years of experience in the past 4 years working with big data technologies such as Apache Spark, PySpark, or Hadoop for large-scale data transformation.
  • 3 years of experience in the past 4 years integrating structured and semi-structured data (CSV, XML, JSON, Parquet) and consuming APIs using Python/PySpark.
  • 3 years of experience in the past 4 years developing analytics-ready datasets and supporting business intelligence platforms such as Power BI or Cognos, including writing optimized SQL for reporting.
  • 3 years of experience in the past 4 years performing data cleansing, validation, profiling, and data quality assurance for regulated or audit-sensitive environments.
  • 3 years of experience supporting production ETL operations, troubleshooting pipeline failures, conducting root cause analysis, and ensuring SLAs for daily, monthly, or regulatory reporting workloads.
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About Pyramid Technology Solutions, Inc.