Position: Azure Cloud Data EngineerExperience: 5+ YearsLocations: Pune, India ( Onsite )Time type: Long term Contract for US based banking client Job Description:We are looking for a seasonal Azure Cloud Engineer · Develop data ingestion & enrichment and model development/execution on Azure cloud · Help us build state of the art solutions that underpin monitoring & surveillance models and alert generation using cutting edge technologies like Azure synapse, SQL, Apache spark, python, Scala, Azure AKS, Delta Lake, Data Bricks, Azure Data Lake, , Postgres etc.· Demonstrate superior problem-solving skills· Demonstrate superior collaboration skills in working closely with other development, testing and implementation teams to roll-out important regulatory and business improvement programs.· Banking domain expertise is a good to have

Role : Scala Developer Location : Pune Experiences: 6-8 Yrs Responsibilities · Strong People management, leadership, organizational skills. Outstanding communication (written and verbal) skills. · Experience leveraging open-source tools, predictive analytics, machine learning, Advanced Statistics, and other data techniques to perform basic analyses. · Demonstrated basic knowledge of statistical analytical techniques, coding, and data engineering. · Experience developing and configuring dashboards is a plus. · Demonstrated judgement when escalating issues to the project team. · High proficiency in Python/Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi), SQL. · Curiosity, creativity, and excitement for technology and innovation. · Demonstrated quantitative and problem-solving abilities. · Expert proficiency in using Python/Scala, Spark (tuning jobs), SQL, Hadoop platforms to build Big Data products & platforms. · Comfortable in developing shell scripts for automation. · Proficient in standard software development, such as version control, testing, and deployment. · Experience with visualization tools like tableau, looker. · At least 5 years leading collaborative work in complex engineering projects in an Agile setting e.g. Scrum. · 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. · Demonstrated basic knowledge of statistical analytical techniques, coding, and data engineering. · 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. · At least 10 years of relevant hands-on experience as a Data Engineer in an individual contributor capacity. · Able to lead the implementation of machine learning production systems. · Demonstrated ability, through hands-on experience, to develop production machine learning pipelines. Note : Interested candidates please share Resume veenab@innovativeinfotech.com Show more Show less