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The Opportunity

We’re looking for a Senior Data Engineer to join our growing Data Platform team. This role is a hybrid of data engineering and business intelligence, ideal for someone who enjoys solving complex data challenges while also building intuitive and actionable reporting solutions.

You’ll play a key role in designing and scaling the infrastructure and pipelines that power analytics, dashboards, machine learning, and decision-making across Sonatype. You’ll also be responsible for delivering clear, compelling, and insightful business intelligence through tools like Looker Studio and advanced SQL queries.

What You’ll Do

• Design, build, and maintain scalable data pipelines and ETL/ELT processes.
• Architect and optimize data models and storage solutions for analytics and operational use.
• Create and manage business intelligence reports and dashboards using tools like Looker Studio, Power BI, or similar.
• Collaborate with data scientists, analysts, and stakeholders to ensure datasets are reliable, meaningful, and actionable.
• Own and evolve parts of our data platform (e.g., Airflow, dbt, Spark, Redshift, or Snowflake).
• Write complex, high-performance SQL queries to support reporting and analytics needs.
• Implement observability, alerting, and data quality monitoring for critical pipelines.
• Drive best practices in data engineering and business intelligence, including documentation, testing, and CI/CD.
• Contribute to the evolution of our next-generation data lakehouse and BI architecture.

What We’re Looking For

Minimum Qualifications

• 5+ years of experience as a Data Engineer or in a hybrid data/reporting role.
• Strong programming skills in Python, Java, or Scala.
• Proficiency with data tools such as Databricks, data modeling techniques (e.g., star schema, dimensional modeling), and data warehousing solutions like Snowflake or Redshift.
• Hands-on experience with modern data platforms and orchestration tools (e.g., Spark, Kafka, Airflow).
• Proficient in SQL with experience in writing and optimizing complex queries for BI and analytics.
• Experience with BI tools such as Looker Studio, Power BI, or Tableau.
• Experience in building and maintaining robust ETL/ELT pipelines in production.
• Understanding of data quality, observability, and governance best practices.

Bonus Points

• Experience with dbt, Terraform, or Kubernetes.
• Familiarity with real-time data processing or streaming architectures.
• Understanding of data privacy, compliance, and security best practices in analytics and reporting.

Why You’ll Love Working Here

• Data with purpose: Work on problems that directly impact how the world builds secure software.
• Full-spectrum impact: Use both engineering and analytical skills to shape product, strategy, and operations.
• Modern tooling: Leverage the best of open-source and cloud-native technologies.
• Collaborative culture: Join a passionate team that values learning, autonomy, and real-world impact.

About the Role

We’re hiring a Data Engineer to join our Data Platform team. You’ll help build and scale the systems that power analytics, reporting, and data-driven features across the company. This role works with engineers, analysts, and product teams to make sure our data is accurate, available, and usable.

What You’ll Do

• Build and maintain reliable data pipelines and ETL/ELT workflows.
• Develop and optimize data models for analytics and internal tools.
• Work with team members to deliver clean, trusted datasets.
• Support core data platform tools like Airflow, dbt, Spark, Redshift, or Snowflake.
• Monitor data pipelines for quality, performance, and reliability.
• Write clear documentation and contribute to test coverage and CI/CD processes.
• Help shape our data lakehouse architecture and platform roadmap.

What You Need

• 2–4 years of experience in data engineering or a backend data-related role.
• Strong skills in Python or another backend programming language.
• Experience working with SQL and distributed data systems (e.g., Spark, Kafka).
• Familiarity with NoSQL stores like HBase or similar.
• Comfortable writing efficient queries and building data workflows.
• Understanding of data modeling for analytics and reporting.
• Exposure to tools like Airflow or other workflow schedulers.

Bonus Points

• Experience with DBT, Databricks, or real-time data pipelines.
• Familiarity with cloud infrastructure tools like Terraform or Kubernetes.
• Interest in data governance, ML pipelines, or compliance standards.

Why Join Us?

• Work on data that supports meaningful software security outcomes.
• Use modern tools in a cloud-first, open-source-friendly environment.
• Join a team that values clarity, learning, and autonomy.

If you're excited about building impactful software and helping others do the same, this is an opportunity to grow as a technical leader and make a meaningful impact.

Position Summary:

As a CRM ETL Developer, you will be responsible for the analysis, transformation, and integration of data from legacy and external systems into CRM application. This includes developing ETL/ELT workflows, ensuring data quality through cleansing and survivorship rules, and supporting daily production loads. You will work in an Agile environment and play a vital role in building scalable, high-quality data integration solutions.

Key Responsibilities:

• Analyze data from legacy and external systems; develop ETL/ELT pipelines to ingest and process data.
• Cleanse, transform, and apply survivorship rules before loading into the CRM platform.
• Monitor, support, and troubleshoot production data loads (Tier 1 & Tier 2 support).
• Contribute to solution design, development, integration, and scaling of new/existing systems.
• Promote and implement best practices in data integration, performance tuning, and Agile development.
• Lead or support design reviews, technical documentation, and mentoring of junior developers.
• Collaborate with business analysts, QA, and cross-functional teams to resolve defects and clarify requirements.
• Deliver working solutions via quick POCs or prototypes for business scenarios.

Technical Skills:

• ETL/ELT Tools: 5+ years of hands-on experience in ETL processes using Siebel EIM.
• Programming & Databases: Strong SQL & PL/SQL development; experience with Oracle and/or SQL Server.
• Data Integration: Proven experience in integrating disparate data systems.
• Data Modelling: Good understanding of relational, dimensional modelling, and data warehousing concepts.
• Performance Tuning: Skilled in application and SQL query performance optimization.
• CRM Systems: Familiarity with Siebel CRM, Siebel Data Model, and Oracle SOA Suite is a plus.
• DevOps & Agile: Strong knowledge of DevOps pipelines and Agile methodologies.
• Documentation: Ability to write clear technical design documents and test cases.

Soft Skills & Attributes:

• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal abilities.
• Experience working with cross-functional, globally distributed teams.
• Proactive mindset and eagerness to learn new technologies.
• Detail-oriented with a focus on reliability and accuracy.

Preferred Qualifications:

• Bachelor’s degree in Computer Science, Information Systems, or a related field.
• Experience in Tier 1 & Tier 2 application support roles.
• Exposure to real-time data integration systems is an advantage.

The role reports to the Head of Customer Support, and the position holder is part of the Product Team.

Main objectives of the role

·    Focus on customer satisfaction with the product and provide the first-line support.

Specialisation

·    Customer Support

·    SaaS

·    FMCG/CPG

Key processes in the role

·    Build extensive knowledge of our SAAS product platform and support our customers in using it.

·    Supporting end customers with complex questions.

·    Providing extended and elaborated answers on business & “how to” questions from customers.

·    Participating in ongoing education for Customer Support Managers.

·    Collaborate and communicate with the Development teams, Product Support and Customers

Requirements

·    Bachelor’s degree in business, IT, Engineering or Economics.

·    4-8 years of experience in a similar role in the IT Industry.

·    Solid knowledge of SaaS (Software as a Service).

·    Multitasking is your second nature, and you have a proactive + Customer First mindset.

·    3+ years of experience providing support for ERP systems, preferably SAP.

·    Familiarity with ERP/SAP integration processes and data migration.

·    Understanding of ERP/SAP functionalities, modules and data structures.

·    Understanding of technicalities like Integrations (API’s, ETL, ELT), analysing logs, identifying errors in logs, etc.

·    Experience in looking into code, changing configuration, and analysing if it's a development bug or a product bug.

·    Profound understanding of the support processes.

·    Should know where to route tickets further and know how to manage customer escalations.

·    Outstanding customer service skills.

·    Knowledge of Fast-Moving Consumer Goods (FMCG)/ Consumer Packaged Goods (CPG) industry/domain is preferable.

Excellent verbal and written communication skills in the English language

• Creating and managing ETL/ELT pipelines based on requirements
• Build PowerBI dashboards and manage datasets needed.
• Work with stakeholders to identify data structures needed for future and perform any transformations including aggregations.
• Build data cubes for real-time visualisation needs and CXO dashboards.

Required Tech Skills

• Microsoft PowerBI & DAX
• Python, Pandas, PyArrow, Jupyter Noteboks, ApacheSpark
• Azure Synapse, Azure DataBricks, Azure HDInsight, Azure Data Factory

We are looking for a Senior Data Engineer to join the Customer Innovation team, who will be responsible for acquiring, transforming, and integrating customer data onto our Data Activation Platform from customers’ clinical, claims, and other data sources. You will work closely with customers to build data and analytics solutions to support their business needs, and be the engine that powers the partnership that we build with them by delivering high-fidelity data assets.

In this role, you will work closely with our Product Managers, Data Scientists, and Software Engineers to build the solution architecture that will support customer objectives. You'll work with some of the brightest minds in the industry, work with one of the richest healthcare data sets in the world, use cutting-edge technology, and see your efforts affect products and people on a regular basis. The ideal candidate is someone that

• Has healthcare experience and is passionate about helping heal people,
• Loves working with data,
• Has an obsessive focus on data quality,
• Is comfortable with ambiguity and making decisions based on available data and reasonable assumptions,
• Has strong data interrogation and analysis skills,
• Defaults to written communication and delivers clean documentation, and,
• Enjoys working with customers and problem solving for them.

A day in the life at Innovaccer:

• Define the end-to-end solution architecture for projects by mapping customers’ business and technical requirements against the suite of Innovaccer products and Solutions.
• Measure and communicate impact to our customers.
• Enabling customers on how to activate data themselves using SQL, BI tools, or APIs to solve questions they have at speed.

What You Need:

• 4+ years of experience in a Data Engineering role, a Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.
• 4+ years of experience working with relational databases like Snowflake, Redshift, or Postgres.
• Intermediate to advanced level SQL programming skills.
• Data Analytics and Visualization (using tools like PowerBI)
• The ability to engage with both the business and technical teams of a client - to document and explain technical problems or concepts in a clear and concise way.
• Ability to work in a fast-paced and agile environment.
• Easily adapt and learn new things whether it’s a new library, framework, process, or visual design concept.

What we offer:

• Industry certifications: We want you to be a subject matter expert in what you do. So, whether it’s our product or our domain, we’ll help you dive in and get certified.
• Quarterly rewards and recognition programs: We foster learning and encourage people to take risks. We recognize and reward your hard work.
• Health benefits: We cover health insurance for you and your loved ones.
• Sabbatical policy: We encourage people to take time off and rejuvenate, learn new skills, and pursue their interests so they can generate new ideas with Innovaccer.
• Pet-friendly office and open floor plan: No boring cubicles.