Salesforce
Location
Hyderabad | India
Job description
ETL Data Warehouse Developer for CorpDev and M&A business
Business Technology connects people and technology to transform the future of work at Salesforce. Guided by our core values of Trust, Customer Success, Equality, Innovation, and Sustainability, we deliver business outcomes that fuel growth, drive competitive advantage, and empower our employees and customers globally. BT’s scope stretches beyond traditional IT: We are also strategic partners, advocating for the best outcomes for our customers, always innovating, and helping to shape the future of work. We oversee technology strategy, Salesforce on Salesforce, customer and partner enablement, applications engineering, infrastructure, collaboration, enterprise operations, architecture, and program enablement. We are Customer Zero, the best example of Salesforce products delivered globally, at scale, sustainably. Salesforce’s Corporate Development team supports critical business data and insights leveraging key Salesforce data to track and provide visibility into highly consumed data. As a Data Engineer, you’ll be a critical part of the development and enhancement of an innovative data environment by leveraging industry best practices and cutting edge approaches. You’ll collaborate with engineering to nail-down the data infrastructure, and with our business partners within the organization to anticipate data needs, and proactively develop data solutions to address the toughest business problems. In short, you'll be building the foundation that allows the rest of the organization to understand our users and turn it into actionable steps to make our product even better and our business run smoother. Our ideal candidate isn’t satisfied until a project is seen through to meaningful impact. If you love working with data and want to see your work impact the entire organization, we want to talk to you! What you’ll do:Work alongside and support a talented team of data engineers.
Build and maintain scalable automated data pipelines ground up. Be an expert of stitching and calibrating data across various data sources.
Work with Salesforce’s data ingestion, data platform and product teams to understand and validate instrumentation and data flow.
Develop data set processes for data modeling, mining and production.
Integrate new data management technologies and software engineering tools into existing structures
Support regular ad-hoc data querying and analysis to better understand customer behaviors.
Understand, monitor, QA, translate, collaborate with business teams to ensure ongoing data quality.
What a successful candidate will have:
5+ years experience designing, implementing and maintaining relational / data warehousing environments (custom or structured ETL, preferably working with large data environments)
3+ years experience in robust ETL tools such as Informatica
2+ years experience with hands on experience using Snowflake
1-3 years experience with developing robust and tested Python applications to support the data warehouse
Experience working with Linux and debugging performance issues.
Strong background in Data Warehousing concepts and schema design
Experience implementing and managing Python open source data tooling such as Airflow, DBT, SQLAlchemy, pandas, Jupyter
History of designing, building and launching extremely efficient & reliable data pipelines to move data (both large and small amounts) throughout a Data Warehouse.
Hands-on expertise in modern cloud data platforms (Snowflake, Databricks, Big Query, RedShift), data analytics tools (Tableau, Looker, Power BI), data programming models (DataFrames, pandas), and AI (Python, R, Jupyter Notebooks).
Must exhibit strong communication skills, empathy, and initiative
Work close with business stakeholders and engaged maturing the working relationship between engineering and the business
Additional desired skills:
Corporate Development and M&A subject matter expertise
Snowflake Certifications is a plus
CorpDev and M&A subject matter expertise
Emphasis on Python and Snowflake
Engineer to work closer with business stakeholders and more engaged in that working relationship at a higher level than initial role
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