Senior Analytics Engineer

Akraya, Inc.; California (MO); Hybrid; USD 90,000 - 96,000; Full time

Job summary

Akraya, Inc. is seeking a Data Analytics Engineer to build and maintain robust data pipelines and models that support analytical needs. You will leverage advanced SQL and Python to transform complex data, ensuring quality and reliability on a W2 basis in CA.

The role emphasizes proactive problem solving and driving efficiency through innovative data solutions. Key responsibilities include developing ETL/ELT processes, implementing sophisticated data transformations, designing modular data

Qualifications

• Minimum 5 years of relevant data experience.
• Proficient in complex SQL for data transformation.
• Experience with data pipeline orchestration tools.

Responsibilities

• Develop and manage efficient ETL/ELT processes.
• Implement sophisticated data transformations using SQL.
• Design and maintain modular and reusable data models.
• Utilize Python for scripting and pipeline automation.
• Apply generative AI tools responsibly for workflow enhancement.

Job description

Primary Skills: Data Analytics advanced), SQL(advanced), Python (advanced), AI (advanced), ETL/ELT(advanced) Contract Type: W2 Duration: 8+ Months Location: CA Pay Range: $65 to $70/hour on W2 This role involves constructing and maintaining robust data pipelines and models to support analytical needs. You will leverage advanced SQL and Python skills to transform complex data, ensuring its quality and reliability. The position requires a proactive approach to problem-solving and a commitment to driving efficiency through innovative data solutions.

Key Responsibilities

• Develop and manage efficient ETL/ELT processes.
• Implement sophisticated data transformations using SQL.
• Design and maintain modular and reusable data models.
• Utilize Python for scripting and pipeline automation.
• Apply generative AI tools responsibly for workflow enhancement.

Must-Have Skills

• Minimum 5 years of relevant data experience.
• Proficient in complex SQL for data transformation.
• Experience with data pipeline orchestration tools.

Domain / Industry Experience

Experience in regulated environments such as BSA/AML, transaction monitoring, or fraud is preferred.