Python Senior Technical Lead - Data Analysis, SQL
Confirmed on the employer's own hiring board on Nov 10, 2026. First seen by Alion on Nov 10, 2026.
Job Summary
Sr Data Engineers - SQL/Python/Data Engineer/AWS
Data Engineers who can build scalable, reliable data pipelines and infrastructure, requiring mastery in SQL, Python/Scala, cloud platforms (AWS), and big data technologies (Spark, Kafka, Hadoop).
Key skills include data modeling, ETL/ELT pipeline construction, data warehousing and orchestration tools like Airflow. Strong problem-solving, collaboration, and data governance skills are crucial. Collect, process, and analyze large datasets to extract meaningful insights.
Design and conduct experiments to test hypotheses and validate data-driven solutions.
Collaborate with cross-functional teams to identify data needs and align strategies with organizational goals.
Create templates, dashboards and visualizations to communicate findings effectively to stakeholders.
Ensure data integrity and accuracy through cleaning, preprocessing, and validation techniques.
Optimize data collection and storage processes for efficiency and scalability. Knowledge on Manufacturing process is preferred
Key Responsibilities
1. Lead technical projects involving sql, data analysis, and python from inception to implementation.
2. Design and develop sql databases, queries, and stored procedures to support various applications.
3. Conduct data analysis to derive valuable insights and make data driven decisions.
4. Develop and maintain python scripts to automate tasks and streamline processes.
5. Collaborate with cross functional teams to integrate technical solutions and ensure compatibility.
6. Troubleshoot technical issues related to sql databases, data analysis, and python scripts.
7. Stay updated on emerging technologies and recommend enhancements to existing systems.
Skill Requirements
1. Proficient in sql to design and optimize databases, write complex queries, and create stored procedures.
2. Strong data analysis skills to extract, clean, and analyze data for business insights and decision-making.
3. Experience in python programming for automation, data manipulation, and scripting tasks.
4. Knowledge of data visualization tools to present findings in a clear and understandable manner.
5. Excellent problem-solving abilities and attention to detail to identify and resolve technical issues efficiently.
6. Strong communication skills to collaborate with team members and stakeholders effectively.
Other Requirements
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