Spark Scala Developer

EXP:- 5-12 Yrs

Locations: Bangalore, India

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.

Required Skills:

Spark

*   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).