Data Engineer

Hello All,


Greetings from Rootshell Inc.


Rootshell Enterprise Technologies Inc. is a recognized provider of professional IT Consulting services in the US. We are actively seeking Data Engineer for one of our client, Please share your resume with current location & full contact info


Role:Data Engineer


Location:Santa Clara, CA - Onsite


Job Description:


We are seeking a highly skilled and motivated Data Engineer / Developer with expertise in PL/SQL, Python, PySpark, and Scala to join our dynamic data engineering team. The ideal candidate will be responsible for designing, developing, and optimizing data pipelines and ETL processes, building data models, and enabling data-driven decision-making within the organization.


Key Responsibilities:
PL/SQL Development: Design, implement, and maintain complex SQL queries, stored procedures, triggers, and functions to interact with relational databases (Oracle, PostgreSQL, etc.). Optimize database performance and ensure data integrity.


Python Programming: Develop and maintain Python-based solutions for data processing, automation, and data pipeline orchestration. Work with Python libraries such as Pandas, NumPy, and others for data manipulation and analysis.


PySpark Development: Design and implement distributed data processing frameworks using PySpark. Build scalable and high-performance data pipelines to handle large volumes of structured and unstructured data.


Scala Development: Utilize Scala for building and optimizing data pipelines and integrating with big data platforms like Apache Spark and Hadoop. Develop efficient, reusable, and modular code for data processing and transformation tasks.


ETL Processes: Design, develop, and maintain ETL processes to ingest data from various sources (databases, APIs, flat files, etc.) and transform the data for analytical and reporting purposes.


Data Integration & Quality: Ensure seamless integration of data across multiple platforms and maintain high data quality standards. Implement data validation, cleansing, and transformation procedures.


Performance Optimization: Continuously monitor and optimize SQL queries, data processing scripts, and Spark jobs to improve performance and scalability.


Collaboration & Communication: Work closely with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver actionable insights. Provide technical guidance and support to junior team members.


With regards


Naveen | Talent Acquisition


Rootshell Enterprise Technologies Inc.


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