Sr. Data Engineer/Data Engineer
- Cignex Datamatics
- 4 - 6 years
- Bengaluru
- 1 year ago
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Job Description
- Hands-on, sleeves-up design, modeling, development, and delivery are expected as a matter of course.
- Strong working knowledge of Azure services and components, and the ability to stitch together various components towards a scalable, reliable and sustainable enterprise solution.
- Production experience delivering CI/CD pipelines across Azure and vendor products.
- Key knowledge of architectural patterns across code and infrastructure development.
- Contribute towards the design and development of the enterprise standards.
Delivery
- Ensure project goals are achieved with quality and on time in alignment with the stakeholders expectations.
- Ability to work on complex projects and in a distributed environment.
- Escalate when necessary and promptly
- Work in close collaboration with other team members in the Enterprise Data Analytics Platform team to ensure Development/Delivery aspects are well represented in the projects requirements and deliverables.
Methodology
- Incorporate agile ways of working into the delivery process utilizing DABL (Discovery, Alpha, Beta, Launch)
- Lead with modern data design and test driven development.
- Individuals will work as part of a product-centric delivery team(s) that will deliver value independently while fully embracing integrated DevOps approaches.
Ownership
- Take ownership of the delivery/development projects and help steer until completion.
Governance
- Maintain governance that allows projects and stakeholders to manage overall project performance and manage program risks within the global nature of some of the programs.
Forward looking :
- Remain flexible towards technology approaches to ensure we are taking advantage of new technologies.
- Keep abreast of industry developments in analytics and interpret how these would impact services and present new opportunities.
Quality, Risk Compliance:
- Ensure all risks and issues associated with owned projects are promptly recorded and managed in the appropriate Risk Issue logs.
- Ensure all Risks and Issues have clear action/mitigation/contingency plans defined, named action owners, and timelines for completion.
Technical Architecture
- Be conversant with technical architecture to contribute to design discussions in partnership with the Delivery/Development Lead and dedicated Analytics Data Architect.
Key Technical skills and experience required .
- MS/BS degree in Computer Science, Engineering, Data Science or equivalent experience, with a preference on experience and proven track record. An ideal candidate would have an impressive hands-on work history in an advanced, recognized, and innovative environment.
- Data engineering experience and seasoned coder in the relevant languages: Python, SQL, Scala, Java etc.
- 5+ years in Data Platform experience- specific to owning and enabling capabilities within an enterprise data ecosystem, including Data Management practices (Analytics/Platform)
- 5+ years experience with the Azure data and analytics stack: Databricks, Data Factory, SQL DW,Cosmos DB, Power BI, Power Apps, AKS, etc.
- 5+ years of experience integrating and supporting various enterprise data tools, Talend, Collibra, Synapse/Snowflake, etc.
- Production experience delivering CI/CD pipelines across Azure and vendor products.
- Key knowledge of architectural patterns across code and infrastructure development.
- Fully conversant with big-data processing approaches and "schema-on-read" methodologies. Preference for a deep understanding of Spark, Databricks, and Delta Lake and applying them to solve data science and machine learning business problems.
- Experience with Agile delivery frameworks and tools: SAFe, Jira, Confluence, Azure DevOps, etc.
- Experience with visualization tools and their application: developing reports, dashboards, and KPI scorecards.
- Familiar deploying enterprise analytics solutions at scale with applicable services: administration, qualification and user access provisioning.
- Experience articulating the business value of analytics projects and progressing solutions from MVP to scaled-up production solutions.
- Ability to work in close partnership with groups across the IT organization (security, compliance, infrastructure, etc.) and business stakeholders in the commercial organizations.
- Ability to develop and maintain productive working relationships with suppliers and specialist technology providers to assemble and maintain a distinctive and flexible mix of capabilities against future requirements.
- The ideal candidate possesses excellent communication skills and the ability to communicate inherently complicated technical concepts to non-technical stakeholders of all levels.
Job Classification
Industry: IT Services & ConsultingFunctional Area:
Role Category: Software Development
Role: Software Development
Employement Type: Full time
Education
Under Graduation: Any GraduatePost Graduation: Any Postgraduate
Doctorate: Doctorate Not Required
Contact Details:
Company: Cignex DatamaticsLocation(s): Bengaluru
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Keyskills: Data management Machine learning Schema Agile Technical architecture JIRA Analytics SQL Python
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Cignex Datamatics Technologies Limited CIGNEX Datamatics, a subsidiary of Datamatics Global Services Ltd., is a Silicon Valley based company. A global, pure-play, consulting company diversified its offering into enterprise-grade solutions, platforms, products and services for Systems of Engageme...
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