Job Id: 20200909005
Job Role: Data Engineer
Experience: 5+ Years
Job Location: Bangalore
Salary: Best in Industry
Vacancies: Not Mentioned
Job Description Alstom Recruitment 2020 Job Openings in Bangalore Hiring for Data Engineer in September 2020:
We are looking for an experienced data engineer to join our team. You will use various methods to transform raw data into useful data systems. For example, you’ll create algorithms and conduct statistical analysis. Overall, you’ll strive for efficiency by aligning data systems with business goals.
To succeed in this data engineering position, you should have strong analytical skills and the ability to combine data from different sources. Data engineer skills also include familiarity with several programming languages and knowledge of learning machine methods.
If you are detail-oriented, with excellent organizational skills and experience in this field, we’d like to hear from you.
NETWORK & LINKS:
The selected candidate will work with a highly motivated team involved in development of DMS in Bangalore Development Center. Shall require to collaborate with teams and across Alstom’s other development centers: Engineering, Technical teams, V&V Team, R&D, HealthHub,ERTMS, IXL, MooN
Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.
Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.
Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
Works closely with a team of frontend and backend engineers, product managers, and analysts.
Defines data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models.
Designs data integrations and data quality framework.
Designs and evaluates open source and vendor tools for data lineage.
Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.
Building Data Integrations and framework with working experince on Linux platforms.
QUALIFICATIONS & SKILLS:
• B.S. degree in computer science, math, statistics, physics, or related discipline. M.S. degree strongly preferred.
• Python or Java development experience
• SQL experience (No-SQL experience is a plus)
• Experience with schema design and dimensional data modeling
•Experience designing, building, and maintaining data processing systems
•Experience working with either a Map Reduce or an MPP system on any size/scale
BEHAVIORAL COMPETENCIES :
Knowledge of best practices and IT operations in an always-up, always-available service
Experience with or knowledge of Agile Software Development methodologies
Excellent problem solving and troubleshooting skills
Process oriented with great documentation skills
Excellent oral and written communication skills with a keen sense of customer service
Great numerical and analytical skills
Excellent analytical, problem solving and organizational skills. Ability to work successfully in team environments, and communicate effectively
Ability to pay close attention to detail, meet deadlines, balance multiple tasks, work under pressure, and work with frequent interruptions.
TECHNICAL COMPETENCIES & EXPERIENCE
Five or more (5+) years of experience in two (2) or more of the following: system/software architecture and development, virtual machine technology, distributed processing, data analytics, machine learning, and/or natural language processing.
Strong math and statistics background.
Hands on experience with Scala, Akka, Kafka, Spark Streaming, sparkSQL,hiveSQL Postgres Elastic Search, Java
Data Engineering experience with Railway Signalling systems and Industrial Process solutions will be an added advantage.
Ability to contribute to machine learning research and design and develop advanced algorithms
Passion for developing efficient, testable, scalable, and well-documented code
Experience in time series and/or text-based data analysis.
Experience in architecting highly-distributed systems, computer applications, software engineering and networking.
Experience developing data analytics applications, and applications for intermittently connected, low bandwidth, and low power environments; sensor integration and fusion.
Apply a strong testing and quality assurance practices
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