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Data Engineer
1 month ago
Job Title: Lead Data Engineer
Location: Yemalur, Bangalore
Your Key Responsibilities:
Lead our engineering team successfully build and deploy cutting edge analytics products for consumption by different stakeholders.
- Lead the architecture, design, and delivery of enterprise grade microservices.
- Deliver assigned projects within budgeted time, cost and agreed quality standards in Agile Scrum environment.
- Partner with Product Management, Architects, Operations, other delivery teams and Release Management to ensure effective launch and delivery of projects to satisfy business needs
- Help define Technical Roadmap and own the entire engineering spectrum end to end
- Improve, optimize and identify opportunities for efficient data engineering processes.
- Exhibit strong leadership and communication skills to collaborate with product managers, technology and management teams across different geographic locations.
- Drive automated solutions that enable better efficiency and process improvement.
- Grow and manage the skills and talent in the team.
- Manage communication cross-functionally and escalate promptly as issues arise.
- Build and maintain strong working relations with senior internal and external stakeholders.
- Create a culture that insists on meeting expectations and delivering value.
- Excellent problem-solving skill
- Work with Central IT to ensure integrations of products with downstream and upstream tools.
- Ensuring timely fulfilment of requirement at the platform end so as to ensure timely delivery of projects.
- Ensuring cost optimization and budget management at Data engineering end by implement automated alerts, cost dashboards and proper guardrails for platform utilization by data engineer and business analysts.
- Timely communication to internal stakeholders on platform events such as downtime, upgrade etc.
- Platform stability and maintaining the discussed SLA for services.
- Key Focus on strategic initiatives focused on improvement in performance of platform
Who are we looking for:
Bachelor’s or master’s degree in computer science, Information Systems or equivalent field
- A total of 8+ years of industry experience with 5+ years of experience in architecting and/or developing and delivering end to end products/solutions in Analytics domain. Minimum of 4+ years of experience in managing 10-15 scrum teams.
- Strong understanding of CS Fundamentals, Data Structures, Algorithms and Problem Solving
- Should be comfortable in working within Microsoft Azure on services like Azure Data Factory, Azure Synapse, Azure DevOps, Azure DataBricks etc.
- Experience in micro service architecture, domain driven design, and RESTful Services
- Experience working in a distributed/cloud-based environment (e.g. Azure, Amazon, Rackspace, GCP etc.)
- Exposure to continuous integration, unit testing, static analysis, and automated integration tests. Continuous delivery experience preferred.
- Experience with massive-scale performance and scalability engineering.
- Very strong understanding and experience in software development lifecycle.
- 4+ years of experience in a DevOps environment, data integration, and pipeline development.
- Strong experience in using ETL framework (eg. Airflow, Oozie, Jenkins etc.) to build and deploy production-quality ETL pipelines.
- Experience in ingesting and transforming structured and unstructured data from internal and third-party sources into dimensional models.
- Strong understanding of distributed storage and compute (Hive and Spark)
- Experience in building stream processing jobs on Apache Spark or similar steaming analytics technology.
- Understanding of basics of machine learning would be an added advantage.
- Understanding software industry trends and relevant innovations in software delivery methods.
- Ability to continually identify team improvements (retrospective analysis, maturity assessments and OKR’s and KPI’s).
- Strong sense of urgency, learning appetite and commitment
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