(15h Left) Data Engineer

3 days ago


Bengaluru, India Data Labs - LANDMARK GROUP Full time
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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