Developer Data Engineering

Tyson Foods; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Tyson Foods in Bangalore, India seeks an IT Data Engineer II to design and optimize data pipelines, focusing on SQL, ETL and data warehousing in an analytics environment. You will develop ETL processes, contribute to data governance, and help deliver intuitive dashboards that communicate data insights to stakeholders.

Qualifications include a Bachelor's degree or equivalent, 1+ years of experience, and exposure to Hadoop or Apache Spark.

Qualifications

• Bachelor's Degree or relevant experience.
• 1+ years relevant experience.
• Proficiency in SQL and basic ETL tools.
• Understanding of data warehousing concepts and basic data architecture.
• Familiarity with data pipeline orchestration and monitoring.
• Initial exposure to big data technologies like Hadoop or Apache Spark.

Responsibilities

• Design, implement, and optimize data pipelines with SQL and scripting.
• Develop and maintain ETL processes and contribute to data warehousing solutions.
• Write and optimize SQL within data visualization tools.
• Enforce data governance policies and ensure compliance with data security standards.
• Build, deploy, and support data visualization solutions that communicate insights.
• Collaborate with stakeholders to deliver intuitive dashboards.
• Participate in cloud cost optimization efforts.
• Contribute to data architecture and streaming initiatives.
• Implement basic data pipeline orchestration.
• Communicate with internal stakeholders to align data solutions with business needs.

Skills

SQL

ETL tools

Data warehousing concepts

Data pipeline orchestration

Monitoring

Hadoop

Apache Spark

Data governance

Education

Bachelor's Degree or relevant experience

Tools

Hadoop

Apache Spark

Job description

## Developer Data EngineeringApply: Bangalore, India: Full time: Posted Today: R0491465**Job Details:**The IT Data Engineer II advances by incorporating data architecture principles to design and propose data solutions that may require architecture reviews. They have a solid understanding of data pipeline orchestration, including developing solutions that manage data flow sequences with appropriate monitoring. Their skill set includes developing in big data technologies and enhancing their theoretical knowledge of data warehousing in an analytics environment.Essential Duties and Responsibilities:• Design, implement, and optimize data pipelines with a strong focus on SQL and scripting.• Develop and maintain ETL processes and contribute to data warehousing solutions, including understanding star schema and Kimball or Snowflake methodologies.• Write and optimize SQL and calculations within data visualization tools to enhance data models and performance.• Enforce data governance policies and ensure compliance with data security standards.• Build, deploy, and support data visualization solutions that effectively communicate data insights.• Collaborate with stakeholders to understand their requirements and deliver intuitive, visually appealing dashboards.• Participate in cloud cost optimization efforts, ensuring efficient use of cloud resources.• Contribute to the development of data architecture and support data streaming initiatives.• Implement basic data pipeline orchestration and assist in integrating big data technologies.• Communicate and collaborate with key internal stakeholders to align data solutions with business needs.• Perform other assigned job-related duties that align with our organization's vision, mission, and values and fall within your scope of practice.Qualifications:Education: Bachelor's Degree or relevant experience.Preferred Certification(s): Any relevant IT Certification.Experience: 1+ years relevant or practical experience.Special Skills:• Proficiency in SQL and basic ETL tools.• Understanding of data warehousing concepts and basic data architecture.• Familiarity with data pipeline orchestration and monitoring.• Initial exposure to big data technologies like Hadoop or Apache Spark.Soft Skills:• Initiative: Proactively identifying and proposing data solutions.• Teamwork: Collaborating effectively with stakeholders across departments.• Communication: Ability to explain complex data concepts to non-technical audiences.• Critical Thinking: Analyzing data architecture needs and proposing improvements.• Adaptability: Quickly learning and applying new big data technologies.• Time Management: Balancing multiple projects and priorities effectively.• Attention to Detail: Ensuring data accuracy and quality in all processes.**Relocation Assistance Eligible:**No**Work Shift:** The successful candidate(s) must be willing and able to perform the physical requirements of the job with or without a reasonable accommodation.