Careers at DecisionTree

Job Role

As a Senior Data Engineering Manager, you will be responsible for leading a team of data engineers, owning data architecture decisions, and delivering robust data pipelines and integrations across cloud ecosystems. The ideal candidate has deep experience in Azure data services, PySpark-based processing, and modern API-driven architectures.
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Key Responsibilities

• Lead and mentor a team of data engineers working on large-scale data pipelines and platforms.
• Architect and design end-to-end data solutions using different cloud platforms like Azure/ AWS/ Google.
• Guide development of high-performance ETL/ELT pipelines using PySpark and Spark SQL.
• Integrate data from internal and third-party sources using REST APIs and streaming technologies.
• Collaborate with product, analytics, and business stakeholders to define data strategy and delivery timelines.
• Ensure best practices in coding, testing, deployment, and data governance.
• Own platform scalability, performance tuning, and cost optimization on Azure.
• Stay ahead of data engineering trends and technologies to continuously enhance the data stack.

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Qualification & Skills Required

• Bachelor’s degree in Computer Science, Engineering, Mathematics, and other business/analytical disciplines
• 12+ years of experience in data engineering, with at least 5+ years in a leadership or managerial role.
• 4+ years of experience on Azure ecosystem  (Data Factory, Data Lake, Synapse, Databricks, etc.).
• Strong hands-on experience with Azure / AWS/ Google cloud ecosystem.
• Proficiency in PySpark, Spark, Python, and distributed data processing frameworks.
• Experience working with REST APIs for data ingestion/integration.
• Deep understanding of data architecture, data modeling, and data warehousing concepts.
• Proven ability to lead cross-functional teams and manage project delivery timelines.
• Excellent problem-solving skills and ability to balance strategic thinking with execution.
• Experience with CI/CD for data pipelines.
• Exposure to other big data tools (Kafka, Airflow, Snowflake).
• Familiarity with DevOps and infrastructure-as-code tools.
• Microsoft Azure certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect).
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Core Competencies Required

• Communication
• Adaptability
• Planning & Execution
• Collaboration
• Continual Learning

Job Role

At DecisionTree Analytics, we're on the hunt for Sales Development Specialists to help power our next phase of growth for both our products and services. This role is perfect for early-career professionals who thrive on conversations, love solving problems, and want to break into international B2B analytics and consulting sales. You’ll work closely with the leadership team, pre-sales and Delivery heads, and get hands-on exposure to global clients, and develop the kind of outbound sales muscle that fast-tracks careers.

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Key Responsibilities

• Generate leads via cold calls, personalized email outreach, and LinkedIn prospecting
• Research companies, map decision-makers, and align outreach with our Ideal Customer Profile (ICP)
• Qualify leads through discovery conversations and assess pain points, buying signals, and urgency
• Book meetings and hand off qualified opportunities to senior sales members
• Maintain clean records and outreach workflows in our CRM (HubSpot)
• Own your pipeline: follow-up, prioritize, and keep momentum going
• Stay sharp: Learn our offerings, industry trends, and messaging playbooks
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Qualification & Essential Skills

• Bachelor's degree in any discipline (preferred: English, Mass Comm, PR, Journalism)
• 1–3 years of inside sales experience (bonus if it’s in analytics, SaaS or consulting) in Western markets (North America preferred)
• Strong communication skills—confident speaker, clear writer
• Tenacity: You’re not discouraged by a “no” (or 20 of them!)
• HubSpot Sales CRM experience (preferred)
• Comfortable working in a fast-paced, target-oriented environment
• Willing to relocate to Gurgaon if you’re not already here and join in 2 weeks
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Core Competencies Required

• Energetic and proactive individuals who want to punch above their weight
• Coachable professionals who crave feedback and growth
• Curious thinkers who can engage in smart conversations with senior decision-makers
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Job Role

We are seeking an experienced Senior Manager - Business Intelligence - to lead and expand our BI team. This role requires a visionary leader who can drive strategic decision-making through data insights, foster a data-driven culture, and manage end-to-end BI processes. The ideal candidate will bring over 11 years of expertise in Business Intelligence, Data Warehousing, and Analytics, with a proven track record of delivering scalable BI solutions.

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Key Responsibilities

Strategic Leadership:

• Define and implement the BI strategy aligned with organizational goals.
• Collaborate with senior leadership to translate business requirements into BI solutions.
• Advocate for and drive a data-driven culture across the organization.

Data Analytics & Insights:

• Oversee the design, development, and delivery of BI reports, dashboards, and tools.
• Monitor key performance indicators (KPIs) and provide actionable insights to stakeholders.
• Lead efforts to optimize data processes and enhance decision-making capabilities.

Team Leadership & Management:

• Manage and mentor a team of BI developers, analysts, and data engineers.
• Ensure resource allocation aligns with project priorities.
• Drive professional development and skill-building within the team.

Technical Expertise:

• Oversee the architecture and scalability of the BI ecosystem, including ETL processes, Data Warehousing, and Analytics platforms.
• Evaluate and implement BI tools and technologies, ensuring best practices in data management.
• Ensure compliance with data governance and security standards.

Qualification & Skills Required

• Bachelor’s degree in Computer Science, Engineering, Mathematics, and other business/analytical disciplines.
• 11+ years of work experience, in the area of Business Intelligence, and Data Warehousing.
• Strong experience of people management and project management.
• Extensive hands-on experience of at least 9+ years of using database methodology, data analysis, advanced SQL queries, ETL and business intelligence applications like Tableau, Power BI
• Must have implemented multiple Data warehousing projects from the design phase.
• Should be well versed with databases like PostgreSQL, MySQL, MS SQL.
• Experience with big data storage and query engines like AWS Redshift, Big Query & Snowflake Cloud
• Experience with cloud infrastructure providers like Amazon AWS, Google Cloud or Azure.
• Excellent analytical skills with an ability to analyze the data, but also drive the implementation of the recommendations.
• Excellent verbal and written communication skills.
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Core Competencies Required

• Communication
• Adaptability
• Planning & Execution
• Collaboration
• Continual Learning

Job Role

Senior Data Engineer responsible for the technical implementation of current and future solutions in the BI/DWH domain. You should be proficient with the design of database architectures, data warehouses, data migrations, data marts, business intelligence packages, and implementing user reporting solutions based upon business requirements with a strong exposure to ADF.

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Key Responsibilities

• Design and build scalable data pipelines using Azure Data Factory and Azure Synapse.
• Develop, maintain, and optimize data workflows and ETL processes.
• Work with Azure Blob Storage, Data Lake, and SQL-based solutions.
• Collaborate with data analysts, scientists, and business teams to support data-driven decision-making.
• Ensure data integrity, quality, and security across platforms.
• Monitor, debug, and optimize Azure-based data infrastructure.
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Qualification & Skills Required

• Bachelor’s degree in Computer Science, Engineering, Mathematics, and other business/analytical disciplines.
• 2–3 years of experience in data engineering, ideally in an Azure environment.
• Hands-on experience with Azure Data Factory, Azure Data Lake / Blob Storage, Azure Synapse or SQL Server, ETL tools and techniques
• Proficiency in SQL, Python and Pyspark (preferred).
• Familiarity with version control (Git) and CI/CD processes.
• Strong understanding of data warehousing concepts and performance tuning.
• Good to have MS Azure Certification.
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Core Competencies Required

• Communication
• Adaptability
• Planning & Execution
• Collaboration
• Continual Learning