Senior Backend Engineer (Spark, Scala, Python, AWS/GCP)

Location: Elk Grove, CA Duration: 12 Months+ Extension Hourly Rate: Depending on Experience (DOE) Work Authorization: Required About the Role We are seeking a skilled and passionate Back-End Engineer with a strong background in data engineering to join our growing team. In this role, you will be responsible for designing, developing, and maintaining scalable and reliable data pipelines and back-end systems. You will work with large datasets, leverage cloud technologies, and collaborate with data scientists and other engineers to deliver impactful data-driven solutions. This position is available in both the United States and India. Responsibilities Design, develop, and maintain data pipelines using Spark, Python, Scala, and Java. Write efficient and optimized SQL queries for data extraction, transformation, and loading (ETL) processes. Work with DataFrames to manipulate and analyze large datasets. Implement data storage and processing solutions using cloud technologies (preferably AWS or GCP). Build and maintain real-time data streaming pipelines using MSK/Kafka. Utilize S3 for data storage and retrieval. Work with data lake technologies like Iceberg. Ensure data quality, integrity, and security. Collaborate with data scientists and other engineers to understand data requirements and deliver solutions. Participate in code reviews and contribute to improving our development processes. Troubleshoot and resolve issues in data pipelines and back-end systems. Qualifications Bachelor’s degree in computer science or a related field (or equivalent experience). 5+ years of experience in back-end development with a focus on data engineering. Strong proficiency in Spark, Python, Scala, and Java. Expertise in SQL and working with relational databases. Experience with DataFrames for data manipulation and analysis. Experience with cloud technologies (preferably AWS or GCP). Experience with message streaming platforms like MSK/Kafka. Experience with S3 or similar object storage. Experience with data lake technologies like Iceberg. Solid understanding of data warehousing concepts. Excellent communication and collaboration skills. Bonus Points: Experience with data modelling and schema design; data governance and data quality management; DevOps practices and CI/CD pipelines; relevant certifications (e.g., AWS Certified Data Engineer, Google Cloud Certified Professional Data Engineer). CLOUD ANALYTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. CLOUD ANALYTICS TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will CLOUD ANALYTICS TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract Some of our Business Ventures - Knowledge Analytics Do restrictive necessities, your capability for advanced analytics or your business model need custom-made applications and infrastructure configurations? opt for our hosted managed services to urge comprehensive analytics solutions supported industry-leading Cloud Analytics Technologies, LLC code - delivered by the Cloud Analytics Technologies, LLC consultants UN agency understand these solutions best. Through a mix of with-it technology and dedicated service and support, Cloud Analytics Technologies, LLC hosted managed services will facilitate you: Reduce your capital prices. Skip large, direct hardware purchases - and revel in prices that are a lot for a foreseeable future over time. Our superior analytics and business intelligence solutions drive bottom-line results, while not acquisition the prices related to developing in-house system. Boost your employee's savings. Scale back your dependence on already overtaxed internal staffing resources by looking forward to Cloud Analytics Technologies, LLC for professional capability coming up with and support. Additionally, free your employees to target proactive business enhancements. #J-18808-Ljbffr Cloud Analytics Technologies, LLC