Software Engineering SMTS (Big Data)
India - Hyderabad
Salesforce
Bieten Sie die beste Customer Experience mit einem einzigen CRM-Tool für Sales, Kundenservice, Marketing, Commerce & IT. Jetzt 30 Tage testen!To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Software EngineeringJob Details
About Salesforce
We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place.
The Data and Analytics Organization (DnA) is Salesforce's cornerstone for fostering growth and margins through unparalleled data insights. From robust governance to strategic execution, we support data pioneers with an unbiased approach. Our Enterprise Data Strategy builds a solid data foundation, fostering a culture of data-driven decisions. We ensure end-to-end quality through a cohesive data supply chain. By deploying and integration platform tools, we enable seamless data access and automated data management driving efficiency and growth with actionable insights. As a steadfast partner, we shape a data ecosystem that fuels innovation. Our commitment to integrity and accessibility propels informed decision-making, propelling Salesforce to new heights of excellence.Interesting Articles about some of our work and our culture:
Team Overview: Data Strategy and Management Engineering team brings Data to life, partnering with data producers and platform engineers to empower data consumers (data scientists, data analysts and visualization engineers) who consume data for business analytics and AI augmented solutions. We do this by delivering trusted data, in an agile way and make it accessible for a variety of use cases. We pride ourselves in being data curious (one who has an intrinsic need to understand a data point). We architect, automate, and scale our data curation frameworks, services, and processes to rapidly integrate disconnected and disparate raw data into a business-relevant asset and work towards one common theme - Customer Success.
Role Description:
Take ownership of designing, developing, and building complex data pipelines, frameworks, and solutions that align with business objectives. Ensure data quality, integrity, security, and scalability.
Provide strong technical leadership within the data engineering team, guiding and mentoring junior data engineers, and leading by example.
Champion engineering best practices, automate processes, and contribute to tools that streamline operations and enhance overall reliability.
Drive data integration strategies and frameworks, contributing to the connection of diverse data sources for data-driven decision-making.
Contribute to data modeling efforts, optimizing data structures for analytical and operational purposes.
Contribute to maintaining documentation of data engineering standards, best practices, and processes.
Actively seek opportunities for innovation in data engineering processes and solutions, with a focus on scalability.
Expertise in big data technologies like Hadoop, Spark, Presto, Hive, Snowflake etc...
Strong coding skills in Python/Java/Scala or equivalent
Strong proficiency in data modeling and algorithms.
Understanding of scalability and reliability concerns for data-intensive applications
Have that unique viewpoint to solve problems that make others run and cower.
Exceptional communication skills, and articulate technical concepts into easy-to-understand language for business partners.
Effectively brainstorm, encourage ideation process
Preferred: Experience with cloud-based data platforms (e.g., AWS,GCP).
Minimum Requirements:
Bachelor’s or Master's degree in Computer Science, Information Technology, or related field.
6+ years of experience in data engineering and related roles.
Accommodations
If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.
Posting Statement
At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at www.equality.com and explore our company benefits at www.salesforcebenefits.com.
Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce.
Salesforce welcomes all.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile AWS Big Data Business Analytics Computer Science Data management Data pipelines Data quality Data strategy Engineering GCP Hadoop Java Pipelines Python Salesforce Scala Security Snowflake Spark
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Marketing Data Analyst jobs
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Data Engineer II jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Manager jobs
- Open Principal Data Engineer jobs
- Open Power BI Developer jobs
- Open Data Scientist II jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Business Data Analyst jobs
- Open Sr Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Product Data Analyst jobs
- Open Data Analyst Intern jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Big Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Principal Data Scientist jobs
- Open Data Quality Analyst jobs
- Open Research Scientist jobs
- Open Azure Data Engineer jobs
- Open Junior Data Engineer jobs
- Open Data quality-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Deep Learning-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open APIs-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open LLMs-related jobs
- Open CI/CD-related jobs
- Open Generative AI-related jobs
- Open Kubernetes-related jobs
- Open Hadoop-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs