Senior PySpark developer responsible for building and maintaining large-scale ETL and data engineering pipelines using PySpark/Spark, Hadoop and related big-data tools. Work with SQL/NoSQL databases, cloud platforms, data lakes/warehouses, and support CI/CD and containerization. Collaborate on systems analysis, project delivery, and meet deadlines under pressure.
Requirements and Qualifications:
- 8+ years of relevant experience in the Data Engineering, ApacheSpark
Python, Pyspark, Unix, Hadoop Must have any 2 skill from below
( DB : Hive, SQL, MongoDB
GTH - Airflow, Gen-AI, ECS)
- Strong proficiency in PySpark and Apache Spark.
- Solid experience with SQL, NoSQL databases (e.g., Hive, HBase, Cassandra).
- Hands-on experience with big data frameworks (Hadoop, Kafka, etc.).
- Expertise in cloud platforms (AWS, Azure, or GCP).
- Proficiency in Python programming and data manipulation.
- Knowledge of ETL tools, data lakes, and data warehouses.
- Experience in CI/CD, containerization (Docker, Kubernetes) is a plus.
- Strong problem-solving and analytical skills.
- Excellent communication and teamwork skills.
- Experience in systems analysis and programming of software applications
- Experience in managing and implementing successful projects
- Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements
Compensation, Benefits and Duration
Minimum Compensation: USD 48,000
Maximum Compensation: USD 170,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post
Photon San Francisco, California, USA Office
San Francisco, United States
Similar Jobs
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Provide patient care under supervision across Medical Assistant I–III levels. Duties range from supportive tasks and ensuring patient safety to administering injectables, performing advanced clinical procedures, and mentoring junior staff. Placement at level I, II, or III is based on qualifications and experience. Remote work from anywhere in the U.S.; role requires computer use and occasional in-person travel capability.
Top Skills:
EpicWindows
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Provide nursing care and leadership for assigned clinical patients remotely, using clinical judgment to prioritize care, ensure safety and comfort, perform basic procedures (CPR, oxygen, IV), document in clinical systems, and coordinate with providers and families to deliver ambulatory care.
Top Skills:
EpicWindows
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Provide consultative analytics and storytelling for complex employer groups, manage client engagements, distill actionable insights from data and reports, present findings, collaborate with account teams, and share best practices to support client solutions and improve health plan performance.
Top Skills:
ExcelOffice 365PowerPoint
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
