| Hiring for Big Data Engineer - O`Fallon, MI (Day 1 Onsite) (*Local Profiles*) at Day, New York, USA |
| Email: [email protected] |
| From: Raghu, Smart Folks [email protected] Reply to: [email protected] Big Data Engineer with strong Scala exp Location O`Fallon, MI (Day 1 Onsite) J ob Description : Strong People management, leadership, organizational skills. Outstanding communication (written and verbal) skills. At least 10+ years of relevant hands-on experience as a Big Data Engineer in an individual contributor capacity. Able to lead the implementation of machine learning production systems. Experience leveraging open-source tools, predictive analytics, machine learning, Advanced Statistics, and other data techniques to perform basic analyses. Expert proficiency in using Python/Scala, Spark (tuning jobs), SQL, Hadoop platforms to build Big Data products & platforms. Extensive data warehousing/data lake development experience with strong data modelling and data integration experience. Good SQL and higher-level programming languages with solid knowledge of data mining, machine learning algorithms and tools. Strong hands-on experience in Analytics & Computer Science. Experience with visualization tools like tableau, looker. Demonstrated basic knowledge of statistical analytical techniques, coding, and data engineering. High proficiency in Python/Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi), SQL. Experience in building and deploying production-level data-driven applications and data processing workflows/pipelines and/or implementing machine learning systems at scale in Java, Scala, or Python and deliver analytics involving all phases like data ingestion, feature engineering, modelling, tuning, evaluating, monitoring, and presenting. Demonstrated ability, through hands-on experience, to develop production machine learning pipelines. Experience developing and configuring dashboards is a plus. Demonstrated judgement when escalating issues to the project team. Curiosity, creativity, and excitement for technology and innovation. Demonstrated quantitative and problem-solving abilities. Comfortable in developing shell scripts for automation. Proficient in standard software development, such as version control, testing, and deployment. At least 5 years leading collaborative work in complex engineering projects in an Agile setting e.g. Scrum. Demonstrated basic knowledge of statistical analytical techniques, coding, and data engineering. Regards, [email protected] Keywords: Michigan Hiring for Big Data Engineer - O`Fallon, MI (Day 1 Onsite) (*Local Profiles*) [email protected] |
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| Tue Aug 13 00:09:00 UTC 2024 |