Python Senior Technical Lead - Data Analysis, SQL

Assist in building, testing, and maintaining data pipelines and ETL processes for structured and unstructured data. Work with cloud-based data platforms and tools, including database systems, data warehouses, and modern data lakes (e.g., Datasphere, AWS, Azure, or GCP services). Collaborate with senior engineers and data analysts to gather requirements, integrate data sources, and optimize data workflows. Monitor data quality, ensure proper documentation, and resolve pipeline issues under supervision. Participate in code reviews, testing, and deployment to maintain engineering standards and data reliability., 1. Lead technical projects involving sql, data analysis, and python from inception to implementation.

1. Design and develop sql databases, queries, and stored procedures to support various applications.
2. Conduct data analysis to derive valuable insights and make data driven decisions.
3. Develop and maintain python scripts to automate tasks and streamline processes.
4. Collaborate with cross functional teams to integrate technical solutions and ensure compatibility.
5. Troubleshoot technical issues related to sql databases, data analysis, and python scripts.
6. Stay updated on emerging technologies and recommend enhancements to existing systems.

Knowledge of SQL and basic database concepts. Familiarity with programming languages such as Python, Java, or Scala for data manipulation. Understanding of ETL concepts and workflow orchestration tools (e.g., Airflow). Basic cloud platform knowledge (e.g., AWS S3, Redshift, Google BigQuery) and Dataverses/Datasphere environments. Strong analytical and problem-solving skills, with attention to detail. Willingness to learn and adapt to evolving data technologies in big data and cloud platforms.

Preferred Qualifications

Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field. Internship or project experience with data pipelines, data transformation, and reporting tools.

Understanding of data modeling, normalization, and business intelligence concepts, 1. Proficient in sql to design and optimize databases, write complex queries, and create stored procedures.

1. Strong data analysis skills to extract, clean, and analyze data for business insights and decision-making.
2. Experience in python programming for automation, data manipulation, and scripting tasks.
3. Knowledge of data visualization tools to present findings in a clear and understandable manner.
4. Excellent problem-solving abilities and attention to detail to identify and resolve technical issues efficiently.
5. Strong communication skills to collaborate with team members and stakeholders effectively.