Sr. Software Engineer

Lead Software Engineer
San Francisco, California Onsite
Job Summary:
As a Lead Software Engineer focused on Data Quality, you will lead the design, development, and deployment of scalable data quality frameworks and pipelines. You will work closely with data engineers, analysts, and business stakeholders to build robust solutions that validate, monitor, and improve data quality across large scale distributed systems.
Key Responsibilities:
Lead the design and implementation of data quality frameworks and automated validation pipelines using Python, Apache Spark, and Hadoop ecosystem tools.
Develop, deploy, and maintain scalable ETL/ELT workflows using Apache Airflow and Apache NiFi to ensure seamless data ingestion, transformation, and quality checks.
Collaborate with cross functional teams to understand data quality requirements and translate them into technical solutions.
Define and enforce data quality standards, rules, and monitoring processes.
Perform root cause analysis on data quality issues and implement effective fixes and enhancements.
Mentor and guide junior engineers, conducting code reviews and fostering best practices.
Continuously evaluate and integrate new tools and technologies to enhance data quality capabilities.
Ensure high code quality, performance, and reliability in all data processing pipelines.
Create comprehensive documentation and reports on data quality metrics and system architecture.
Required Skills
Experience:
Bachelor's or Mastera's degree in Computer Science, Engineering, or a related field with Data Engineering Experience.
5+ years of professional experience in software development, with at least 2 years in a lead or senior engineering role.
Strong proficiency in Python programming and experience building data processing applications.
Hands on expertise with Apache Spark and Hadoop for big data processing.
Solid experience with workflow orchestration tools like Apache Airflow.
Experience designing and managing data ingestion and integration pipelines with Apache NiFi.
Understanding on Data Quality automation, CI/CD, Jenkins, Oracle, Power BI, Splunk
Deep understanding of data quality concepts, data validation techniques, and distributed data systems.
Strong problem solving skills and ability to lead technical discussions.
Experience with cloud platforms (AWS, GCP, or Azure) is a plus.
Excellent communication and collaboration skills
Thanks
Regards
The pay range for this role is
***k - ***k
per annum including any bonuses or variable pay. *** also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience, and location of the candidate.
*** is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities.
Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at
*** ."