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Data engineer


bp


Location

Pune | India


Job description

Entity:

Innovation & Engineering

Job Family Group:

IT&S Group

Job Summary:

Responsible for supporting the delivery of business analysis and consulting processes and procedures for the defined specialism using basic technical capabilities, developing working relationships to provide support with queries, issues and ad-hoc requests and assisting with quality assurance services. Specialisms: Business Analysis; Data Management and Data Science; Digital Innovation.

Job Description:

We're looking for curious minds who are excited by the opportunity to create and deliver an exciting suite of digital products and services to advance the global energy transition. You will need to solve complex business challenges whilst collaborating and co-innovating globally, backed by a culture that encourages creativity and curiosity, and a team that cares brings out the best in each other.

Role Synopsis:

As part of the bp 'Innovation & Engineering' team, you will help to drive the digital transformation of bp through its use of data and analytics. A major digital sub-team within I&E is Asset Management, responsible for all digital and data initiatives and operations across the following areas of the bp business:

  • Production & Projects
  • Health, Safety, Environment & Carbon
  • Refining & Operations
  • Wells & Subsurface
  • Strategy & Sustainability

'DataWorx' is the name of the data team that is responsible for all data within these areas and we are developing deep data capabilities to transform the access, supply, control and quality to our vast and ever growing data reserves that are measured in Petabytes. The DataWorx team covers many data sub-disciplines, including data science, data analytics, data engineering and data management as well as specialist areas such as geospatial, remote sensing, knowledge management and digital twin. The DataWorx team works with a wide variety of data from structured data to unstructured data & we also work on Real-time streaming data processing along with Batch data processing.

Key Responsibilities
  • Assist in the design, implementation and maintenance of reliable and scalable data infrastructure and products on Microsoft Azure cloud environments
  • Assist in design, development, and delivery of large-scale data ingestion, data processing, and data transformation projects on the Azure cloud
  • Shares knowledge with the team to provide design reviews, discussions and prototypes
  • Works with Digital Technology teams and customers to deploy, manage, and audit best practices for cloud products
  • Adheres to and advocates for software & data engineering best practices (e.g. technical design and review, unit testing, monitoring, alerting, source control, code review & documentation)
  • Adheres to privacy and compliance requirements; develops, maintains and improves CI / CD pipeline
  • Part of a cross-disciplinary team working closely with other data engineers, software engineers, data scientists, data managers and business partners in a Scrum/Agile setup

Job Requirements:

Education:

Bachelor or higher degree in computer science, Engineering, Information Systems or other quantitative fields

Experience:

Years of experience: 2 to 4 years with minimum of 1 to 3 years relevant experience Experience designing, planning, productionizing, maintaining and documenting reliable and scalable data infrastructure and data products in complex environments Hands on experience with:

  • Databricks and using Spark for data processing (batch and/or real-time)
  • Languages: Python, Scala, SQL
  • Cloud platforms: Azure (ideally) or AWS
  • Azure Data Factory
  • Azure Data Lake, Azure SQL DB, Synapse, and Cosmos DB
  • Data Management Gateway, Azure Storage Options, Stream Analytics and Event Hubs
  • Delivering agreed scope to stakeholders
  • Data modeling with relational or data-warehouse systems
  • Azure Devops (or similar tools) for source control & building CI/CD pipelines

Understanding Data Structures & Algorithms & their performance Experience designing and implementing large-scale distributed systems Experience with big data technologies and graph modelling (e.g. neo4j, Azure Digital Twin and other Azure data technologies, Hadoop, Hive, and Spark etc) a plus

Desirable Criteria:

  • Stakeholder management
  • Continuous learning and improvement mindset
  • Boy Scout mindset to leave the system better than you found it

Key Behaviors:

  • Empathetic: Cares about our people, our community, and our planet
  • Curious: Seeks to explore and excel
  • Creative: Imagines the extraordinary
  • Inclusive: Brings out the best in each other

Travel Requirement

Up to 10% travel should be expected with this role

Relocation Assistance:

This role is eligible for relocation within country

Remote Type:

This position is a hybrid of office/remote working

Skills:

Business Acumen, Commercial acumen, Communication, Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms, Data visualization and interpretation, Digital Security, Extract, transform and load, Problem Solving

Legal Disclaimer:

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with disabilities may request a reasonable accommodation related to bp's recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an accommodation related to the recruitment process, please contact us to request accommodations.

If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.


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