Senior Software Engineer - Data Engineering

Senior Software Engineer - Data Engineering

Application Deadline: 31 May 2024

Department: Global Delivery

Employment Type: Full Time

Location: India Remote

Description

We seek a Senior Software Engineer in Data Engineering who will help deploy and maintain scalable combinations of people, processes, and technology that ensure best practices in campaign planning/execution, lead generation, segmentation, and data management. You will be expected to stay abreast of industry and technology trends, write detailed technical documentation, troubleshoot issues, and continuously enhance our marketing infrastructure. This role stays proficient in the Adobe Experience Platforms and would involve designing, building, and maintaining robust and scalable data pipelines and solutions that integrate seamlessly to support our marketing and analytics efforts.

• Work with analysts and their data sets in SQL, Python, and R to optimize and troubleshoot ways to ingest into our Customer Data Platform (CDP)
• Maintain knowledge of data elements and Adobe Experience Platform in the maintenance and definition of segment, event, and attribute rule sets
• Develop data pipelines from disparate data sources to support both the analysis and activation of contact acquisition, engagement, and retention programs via our CDP
• Collaborate with the Sales and Marketing teams to build nimble audience segments data requirements gathering and support questions for audience segmentation
• Deploy pipelines and infrastructure in both proof of concept (POC) and production form to support the CDP initiatives
• Develop data sets across data lakes like Amazon Web Services (AWS) and Red Shift
• Partner with internal and external stakeholders to support combinations of platforms and infrastructure across the organization
• Consult with business owners on establishing and improving KPIs within the Customer Experience

Your Job Responsibilities

• 5+ years of experience as a data engineer or in a similar role with significant exposure to the Adobe Experience platforms.
• Strong experience in data integration and engineering tools such as SQL, Python, and R
• Proficient Experience administering or implementing Adobe Marketing Cloud solutions (including Analytics, Target, Experience Platform, CDP, etc.)
• Experience with data modeling, ETL development, and data warehousing solutions.
• Experience creating & deploying data pipelines across vast data repositories, web properties, and silos and being able to use & learn Adobe Marketing Cloud, Adobe Experience Platform, APIs, etc. to surface reliable data for analysis.
• Extensive background in both educating stakeholders and developing reports or dashboards to support the needs of the organization across multiple initiatives and programs
• Strong communication, problem-solving, and analytical skills. 
• Ability to work independently and as part of a team. 

Skills, Knowledge and Expertise

• 5+ years of experience as a data engineer or in a similar role with significant exposure to the Adobe Experience platforms.
• Strong experience in data integration and engineering tools such as SQL, Python, and R
• Proficient Experience administering or implementing Adobe Marketing Cloud solutions (including Analytics, Target, Experience Platform, CDP, etc.)
• Experience with data modeling, ETL development, and data warehousing solutions.
• Experience creating & deploying data pipelines across vast data repositories, web properties, and silos and being able to use & learn Adobe Marketing Cloud, Adobe Experience Platform, APIs, etc. to surface reliable data for analysis.
• Extensive background in both educating stakeholders and developing reports or dashboards to support the needs of the organization across multiple initiatives and programs
• Strong communication, problem-solving, and analytical skills. 
• Ability to work independently and as part of a team. 
  
  
  

Good To Have 

• Certifications in Adobe Experience Cloud products.
• Strong analytical skills and experience with advanced reporting and other data analysis tools and/or code sets (e.g., Qlik, Tableau) are a plus
• Experience with cloud services like AWS, Redshift, Azure, or Google Cloud.
• Familiarity with machine learning and advanced analytics techniques.
• General understanding of data transformation, ingestion, transfer, mining & augmentation

What Would Success Look Like For You?

Success in this role means having designed and implemented robust data pipelines that enhance our Customer Data Platform's functionality within the first six months. It involves the successful integration of data sources and providing scalable solutions for campaign execution and analysis, leading to measurable improvements in campaign effectiveness and customer engagement metrics.

Your Work’s Impact

Your contributions as a Senior Software Engineer in Data Engineering directly support our strategic marketing and customer engagement goals, thereby driving business growth and enhancing customer satisfaction. The role will focus on realizing value from disparate data sets and partnering to identify trends in contact activity in order to build valuable customer experiences. Collaboration with internal business stakeholders to enable data-driven decisions for managing the end-to-end web visitor and customer life cycle will be paramount.

Why Work At Axelerant?

We're a people-centric company, driven by our core values: Openness, Enthusiasm, and Kindness.
We highly value our people and invest in their growth and well-being through progressive benefits, which puts us among India's top 40 companies in health and wellbeing. 

• Excellent work exposure - Some of our recent clients were the UN, the University of East London, and Doctors Without Borders.
• Meaningful projects to contribute back - Most of our projects are in the education, government, healthcare, and not-for-profit sectors. We also encourage and support team members for open-source contributions.
• Work-life flexibility and remote work - You decide when and where to work. This has allowed many team members, who couldn’t have held a regular job otherwise, to have thriving careers.
• Eight-hour workdays - We don't say 8 hours and expect 12 hours minimum. 
• No micromanagement - Micromanagement makes us grunt like the Hulk. So nobody would be looking over your shoulders. But help is always available when asked.
• No discrimination - We believe in equal pay for equal work. Personal decisions like planning to have children will not stop you from getting promoted.
• Championing inclusivity - We like diversity. It enriches our lives and products. If you see something wrong or that could be better on day 1, share through established channels to bring positive change. We listen.
• Meaningful time off - 52 weekends and 40 days per year of consolidated leave, plus maternity, paternity, adoption, and sabbatical allowances. We also have Kindness leaves for emergencies.
• Family Medical Insurance - You want your family’s health secured. So do we. We got you, your spouse, your little ones, and your parents covered. And free doctor and health and wellness consultations from medical experts, whenever you need.
• Performance coaching - Our professional, empathetic coaches will help you become your best version through career and personal development. 
• Event sponsorship -  If your session at any event is selected and aligns with sponsorship guidelines, we cover all expenses for the trip, whether domestic or international.
• Continuing education allowance - We’ll cover up to 2% of your annual salary yearly for classes, certifications, or buying books to further your capabilities. 

There Are Many Other Progressive Benefits:

• Health and wellness allowance
• Generous home office set-up allowance
• Sponsored team meet-ups
• Co-working space allowance
• Event allowance