Data engineering-Big data devloper

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.Required Skills:* 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 modeling and schema design.* Experience with data governance and data quality management.* Experience with DevOps practices and CI/CD pipelines.* Relevant certifications (e.g., AWS Certified Data Engineer, Google Cloud Certified Professional Data Engineer).