Sr. Specialist , Data Engineering

Major position responsibilities include but are not limited to the following:

• You are excited at the prospect of demonstrating technology to solve complex data problems

• Build data applications on Google cloud platform and integrate with different data sources/ tools.

• Design, develop, and maintain a world class data warehouse and analytics architecture to meet business analysis, reporting needs, and data science initiatives

• Work directly with divisional and global business users and data scientists to assist in project analysis

• Participate in the development and maintenance of ETL jobs and data pipelines to aggregate data from various on premise, cloud platforms & external data sources

• Design and develop data marts for consumption by analytics tools and end users

• Develop code standards, guidelines to manage and ensure data quality and integrity

• Optimize and scale data warehouse and data processing infrastructure

• Evaluate new technologies and constantly work towards continuous improvements in data engineering, our platform, and the organization

Required  Qualifications : 

• Bachelor’s degree required, Graduate degree or equivalent experience in Computer Science, Statistics, Informatics, Information Systems or another quantitative field would be an advantage

• Ability to work as a Data Engineer with minimum 3years of experience.

• Demonstrates expertise in data modeling, ETL development, and Data warehousing

• Knowledge of data management fundamentals and data storage principles

• Experience with Python or similar programming languages

• Working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases

• Experience in CI/CD workflow approaches

• Knowledge of Python, Terraform, docker Kubernetes, cloud functions, snowflake/BigQuery, DBT

• Experience with Git for version control

• Strong analytical, problem solving & conceptual skills

Preferred Qualifications : 

• Experience building and optimizing"big data" data pipelines, architectures and data sets.

• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and find opportunities for improvement.

• Experience with SAP data extractors, SAP Integration tools like SLT, SDI & understanding of Supply chain processes is preferred

• Experience with cloud data warehousing/Big data environments like Snowflakes, BigQuery, Google cloud storage etc is a plus

• Experience with data pipelines and streaming frameworks such as Pubsub, Spark, Airflow, Kafka etc

• Experience with RDBMS; NoSQL experience also encouraged

• Ability to embrace, learn, and apply new technologies and tools

• Familiarity with agile software development methodology

• Should be able to communicate well with both technical and non-technical teams

  • Knowledge of AI tools used for data pipelines will be preferred