Title: Sr Data Engineer (with ML)
Location: 909 E Collins Blvd, Richardson, TX 75081 (Onsite)
Visa: NO H1B
Client: CVS
Experience Level: 12+ Years
CLIENT INTERVIEWS:
- Round 1: Virtual TEAMS call
- Round 2: Onsite interview at the CVS office with the entire team at: 909 E Collins Blvd, Richardson, TX 75081
Required Test: LIVE CODING / PROBLEM SOLVING
NOTE: PYTHON & SQL EXPERIENCE SPECIFICALLY FOR IMPLEMENTATIONs and it should be everywhere in their resume.
They don’t want any data scientist, data architect, data modeler for Senior Data engineer position.
Description:
This person will be responsible for building new Data Pipelines to extract & transfer data. There will then be an ML Engineer that will deploy the models you create.
We are seeking an experienced Senior Data Engineer with a strong background in Python, SQL, and Azure Cloud technologies. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support our growing data needs. You will collaborate closely with data scientists, analysts, and other engineering teams to ensure data availability, integrity, and performance.
Required:
- 6+ years in advanced SQL
- 6+ years in advanced Python
- Scheduling Tool(s): Apache Airflow or Kubeflow (either will work)
- Azure (preferred), GCP, or AWS advanced Public Cloud Experience.
- Proficiency in Python for data manipulation, automation, and scripting.
- Advanced SQL skills for complex query writing, optimization, and database management.
- Experience with Azure Kubernetes.
- Experience with big data technologies (e.g., Spark, Hadoop) and data lake architectures.
- Familiarity with CI/CD pipelines, version control (Git), and containerization (Docker) is a plus.
Key Responsibilities:
- Data Pipeline Development:** Design, develop, and maintain robust ETL/ELT, curated and feature engineering processes using Python and SQL to extract, transform, and load data from various sources into our data platforms.
- Database Management:** Optimize, manage, and monitor SQL databases and data warehouses, ensuring high performance and efficient data retrieval.
- Data Integration:** Work with both structured and unstructured data sources to integrate diverse data sets into a unified, accessible format.
- Data Quality and Governance:** Implement data quality checks, validation procedures, and data governance standards to maintain data accuracy and consistency.
- Collaboration:** Collaborate with cross-functional teams, including data scientists, data analysts, software engineers, and product managers, to define data requirements and deliver solutions that meet business needs.
- Performance Tuning:** Optimize performance of large-scale data processing systems and databases to ensure efficient data access and usage.
- Documentation:** Create and maintain comprehensive documentation for data engineering processes, architectures, and pipelines.
- Innovation:** Stay up-to-date with the latest trends and technologies in data engineering and cloud services, recommending and implementing new tools and techniques as appropriate.
Education:
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
- Reference letter required – the reference must directly link the candidate to a prior company they worked at.
- When listing Interview availability, you must list both their Phone/Virtual Interview availability AND their Onsite availability
INTERVIEW PROCESS:
Candidates must join the TEAMS Interview using a computer (not their phone) because they’ll need to have their IDE setup and ready to go so, they can share their screen for the coding problems.
- · Internal INTERVIEW Recording: Client will see the Internal Recorded Interview recording
- · Candidates’ interviews will be onsite.
- · Reference letter required – the reference must directly link the candidate to a prior company they worked at.
Regards,
Sucheta Chauhan
Direct Voice: (201) 484 – 7129 | [email protected]
LinkedIn: linkedin.com/in/sucheta23
Voto Consulting LLC | http://www.votoconsulting.com
1549 Finnegan Lane, 2nd floor, North Brunswick, NJ 08902
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