Data Engineer with Coupa certification

2 days ago

Fremont, California, United States Princenton software services pvt ltd Full time $108,000 - $130,379 per year

Job Summary

We are seeking a dynamic and innovative Data Engineer to join our data-driven team In this role, you will be at the forefront of designing, developing, and maintaining robust data pipelines and architectures that empower insightful analytics and strategic decision-making. Your expertise will enable seamless integration of diverse data sources, optimize data workflows, and support advanced modeling initiatives. If you thrive in a fast-paced environment where your technical skills can make a tangible impact, this is the perfect opportunity to elevate your career in data engineering

Duties

  • Design, build, and maintain scalable data pipelines using ETL (Extract, Transform, Load) processes to support large-scale Big Data environments.
  • Develop and optimize data models for data warehouses and data lakes utilizing tools such as Apache Hive, Spark, Azure Data Lake, and Hadoop.
  • Implement efficient database designs and manage relational databases including Microsoft SQL Server, Oracle, and other SQL-based systems.
  • Collaborate with cross-functional teams to gather requirements and translate them into technical solutions leveraging AWS cloud services like S3, Redshift, and Lambda.
  • Integrate diverse data sources through RESTful APIs, Linked Data frameworks, and Informatica workflows to ensure comprehensive data availability.
  • Write clean, efficient code in Java, Python, Bash (Unix shell), Shell Scripting, or VBA to automate workflows and perform complex analysis tasks.
  • Support model training efforts by preparing datasets and ensuring data quality for machine learning initiatives.
  • Conduct database design activities to enhance performance, scalability, and security of our data infrastructure.
  • Participate in Agile development cycles to deliver iterative improvements rapidly while maintaining high standards of quality.
  • Utilize analytics tools like Looker for visualization and reporting purposes to provide actionable insights across the organization.

Skills

  • Extensive experience with cloud platforms such as AWS and Azure Data Lake for scalable storage solutions.
  • Strong proficiency in Java, Python, Bash scripting, Shell scripting, and VBA for automation and development tasks.
  • Deep understanding of Big Data technologies including Hadoop ecosystem components like Apache Hive and Spark.
  • Proven ability to design and implement ETL workflows using tools such as Talend or Informatica.
  • Expertise in SQL databases including Microsoft SQL Server and Oracle; solid knowledge of database design principles.
  • Familiarity with Linked Data concepts for semantic web integration.
  • Experience working with RESTful APIs for data integration purposes.
  • Knowledge of Model training processes within machine learning pipelines is a plus.
  • Strong analysis skills to interpret complex datasets effectively.
  • Ability to work within Agile methodologies to deliver timely solutions in a collaborative environment.
  • Excellent communication skills to articulate technical concepts clearly across teams. Join us if you're passionate about transforming raw data into powerful insights We value innovation, collaboration, and a proactive mindset—all aimed at driving success through cutting-edge data engineering practices. This paid position offers an exciting chance to develop your expertise while contributing meaningfully to our organizational goals

Job Type: Full-time

Pay: $108, $130,379.07 per year

Work Location: In person

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