Azure Data Engineer

Azure Data Engineer

Ecolab Digital Center | Bangalore, KA, IN

Posted 6 days ago

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Description

We’re looking for a business-focused RD&E Data Engineer with a passion for both math and technology to join our Connect Integration team. We mainly work on Data integration between Connect and different source systems from where we receive customer data and relevant product/pricing entitlements.

In this role, you will have the opportunity to work directly with the business teams, Product Owners, and Business Analysts along with expertise from Ecolab’s Center for Advanced Analytics, to develop the data strategy and advanced analytics pipeline.

Opportunity to expose your technical and functional knowledge and be able to see the results of your efforts ripple throughout our systems in real time. You will design your systems as you see fit, and own your code, and your work will have a very direct, measurable impact on our core metrics.

What’s in it For You:

  • The opportunity to take on some of the world’s most meaningful challenges, helping customers achieve clean water, safe food, abundant energy, and healthy environments
  • The ability to make an impact and shape your career with a company that is passionate about growth
  • The support of an organization that believes it is vital to include and engage diverse people, perspectives, and ideas to achieve our best
  • Actively engage with internal business teams to understand their challenges and deliver robust, data-driven solutions.
  • Work alongside global counterparts to solve data-intensive problems using standard analytical frameworks and tools.
  • Be encouraged and expected to innovate and be creative in your data analysis, problem-solving, and presentation of solutions.
  • Network and collaborate with a broad range of internal business units to define and deliver joint solutions.

Responsibilities

  • A problem-solving mindset with the ability to understand business challenges and how to apply analytics expertise to solve them.
  • Build compelling, clear, and powerful visualizations of data.
  • Design, architect, and implement Azure Data Factory V2 Pipelines.
  • Should have worked on Team Foundation Server / GIT as part of ADF Implementation.
  • Experience in migration projects like moving/implementing code from another ETL tool to ADF.
  • Develop solutions to implement error logging, and alerting mechanisms using various available azure services.
  • A team mentality empowered by the ability to work with a diverse set of individuals.
  • Tell a clear story, highlight insights we had not previously seen, and do it all faster than we’ve been able to previously.
  • Create, maintain, and document a robust set of metrics to monitor day-to-day bug detection and long-term performance tracking/tuning.
  • Have a strong understanding of best practices, standards, and guidelines in each technology/product and apply the same to produce high-quality deliverables
  • Should be able to take responsibility for the software life cycle - set up all environment, design, code, test, and repository mgmt. and deployments as applicable and as required

Required Qualifications

o Minimum 3-5 years of Development experience in ADF.

o Minimum knowledge or years of experience in other ETL tools like Informatica cloud, Informatica power center [Optional]

o At least 2-3 years of experience in T-SQL, creating complex store procedures, triggers, etc.

o Should have worked on SQL Database, Azure SQL Database, Azure Datawarehouse, salesforce connectors, and snowflake connectors and should be comfortable with data warehousing concepts.

o 3+ Years of professional experience in a data Engineer/analyst role or similar.

o Knowledge in creating Power BI Reports & Dashboards [Optional]

o Should have worked on Service Bus and Event Hub.

Preferred Qualifications

o Experience working on Data Migration / Code implementation from other ETL tools using ADF will be an advantage [Optinal].

o Experience with Azure Data Factory, SSIS package, managed identity, service principles, and other deployment activities

o Exposer to SQL DB, Azure SQL DB, basic scripts

o Preferred Azure Cloud Shell, PowerShell, Azure CLI and Work with other Azure stack modules like Azure Data Lakes, SQL, Data warehouse, SF connectors, etc.

o Excellent communication, organizational transformation, and leadership skills

o Eager to continuously learn and grow.