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Programmer Analyst|1911 Programmer Analyst|1911
Programmer Analyst|1911 Programmer Analyst|1911ACL Digital • San Diego, CA, United States
Programmer Analyst|1911 Programmer Analyst|1911

Programmer Analyst|1911 Programmer Analyst|1911

ACL Digital • San Diego, CA, United States
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  • serp_jobs.job_card.full_time
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Job Description : Top 5 Required Skills

1. AWS

2. Data Engineering

3. SQL

4. Python

5. Informatica

Technologies (specific tools and / or programs you would want to see on their resumes)

  • AWS, Redshift, Apache Airflow, Glue, Python, Informatica, Snowflake, IICS, ERP, Salesforce

Keywords (specific words, projects, programs you would want to see on their resumes)

  • AWS, Redshift, Apache Airflow, Glue, Python, Informatica, Snowflake, IICS, ERP, Salesforce
  • Data discovery, modeling, engineering, pipeline, data warehouse
  • Education Requirement

  • Bachelor of Science in Computer Science, Information Technology, Data Science, or a related field.
  • Required Years of Experience

  • 3 years min
  • Physical Requirements

  • Push Max Weight Limit = 0
  • Pull Max Weight Limit = 0
  • Lift Max Weight Limit = 0
  • Forklift Required (Y / N) : N
  • Driving Requirements

  • Are there driving responsibilities no matter how minimal with this role? No
  • (If Yes)How many hours per week? n / a
  • Work Location Requirement : 100% Onsite
  • Work Address : 5775 Morehouse Drive, San Diego, CA
  • Qualcomm Home Building : O
  • Work Days : Mon-Fri
  • Exact Shift Time : 8 : 30-5 : 00pm PST
  • Weekly / Daily Expected Hours : 40.0 / 8.0
  • As a Data Engineer at Qualcomm, you will play a pivotal role in shaping and implementing robust data architecture while constructing efficient data pipelines aligned with our organizational goals. This position supports various business functions, including Supply Chain, Finance, Sales & Marketing, and other corporate areas. The ideal candidate will possess a deep understanding of data architecture principles, data discovery / modeling, and the seamless integration of emerging technologies into a cohesive data ecosystem that fosters innovation, operational excellence, and strategic insights.

    Principal Duties and Responsibilities :

  • Collaborate with cross-functional and global teams to comprehend business requirements and translate them into effective solutions.
  • Design and manage resilient, scalable data models and architectures that cater to the evolving needs of the business, emphasizing efficiency, quality, and security.
  • Implement data pipelines using tools such as Apache Airflow, AWS Glue, Redshift, S3, Python, and Informatica Cloud.
  • Facilitate communication within and outside the project team to resolve conflicts related to implementation schedules, design complexities, and other challenges.
  • Good to have qualifications

  • Experience in Data Engineering leveraging AWS Redshift, S3, Glue, Airflow, Python, SQL and Kubernetes
  • Familiarity with Informatica Cloud and Informatica Power Center is essential.
  • Strong expertise in data modeling tools and methodologies, encompassing both structured and unstructured data environments.
  • Demonstrated experience in data governance, data quality management, and data security practices.
  • Exceptional analytical and problem-solving skills, enabling the translation of intricate technical challenges into actionable solutions.
  • Ability to quickly learn and adapt to new technologies.
  • Strong sense of ownership and growth mindset.
  • Curiosity about the problem domain and an analytical approach.
  • Strong influence skills to drive business adoption and change.
  • Experience in data discovery of source systems like Oracle E-Business Suite and Salesforce is preferable.
  • Comments for Suppliers :

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