Data Engineer with Innovative Entity in Insurance Industry
4 weeks ago
Location: Hyderabad, IndiaReporting Manager: Head of AnalyticsWork Pattern: Full Time, 5 days in the officeMinimum Experience as a data engineer: 8 years
Responsibilities· Designing and building optimized data pipelines using cutting-edge technologies in a cloud environment to drive analytical insights· Constructing infrastructure for efficient ETL and ELT processes from various sources and storage systems· Knowledge of how to create and improve data sets, “big data” data pipelines, and infrastructures· Being able to do root cause analysis on data and procedures both internally and outside to find possibilities for improvement and provide clarification· Outstanding analytical abilities related to coping with unstructured datasets.· Capacity to develop procedures that support task management, data structures, dependence, and metadata· Strong project management and organisational skills· Collaborating closely with Product Managers and Business Managers to design technical solutions aligned with business requirements· Leading the implementation of algorithms and prototypes to transform raw data into useful information· Architecting, designing, and maintaining database pipeline architectures, ensuring readiness for AI/ML transformations· Creating innovative data validation methods and data analysis tools· Ensuring compliance with data governance and security policies· Interpreting data trends and patterns to establish operational alerts· Developing analytical tools, programs, and reporting mechanisms· Conducting complex data analysis and presenting results effectively· Preparing data for prescriptive and predictive modeling· Continuously exploring opportunities to enhance data quality and reliability· Applying strong programming and problem-solving skills to develop scalable solutions· Collaborate with data scientists, data analysts and architects on several products and projects
Skills· 8+ years of hands-on experience designing, building, deploying, testing, maintaining, monitoring, and owning scalable, resilient, and distributed data pipelines· Technical expertise with data models, data mining, and segmentation techniques for both structured and unstructured data· High proficiency in Scala/Java and Spark for applied large-scale data processing· Expertise with big data technologies, including Spark, Data Lake, Delta Lake, and Hive· Solid understanding of batch and streaming data processing techniques· Proficient knowledge of the Data Lifecycle Management process, including data collection, access, use, storage, transfer, and deletion· Expert-level ability to write complex, optimized SQL queries across extensive data volumes· Experience with RDBMS and OLAP databases like MySQL, Redshift· Familiarity with Hadoop, HBase, MapReduce, and other suitable platforms.· Excellent understanding of operating systems like UNIX, Linux, and Windows· Familiarity with Agile methodologies· Obsession for service observability, instrumentation, monitoring, and alerting· Knowledge or experience in architectural best practices for building data lakes· Hands-on data management in any of the hyperscalers – Azure, AWS, GCP
Good to Have:· Passion for testing strategy, problem-solving, and continuous learning.· Willingness to acquire new skills and knowledge· Possess a product/engineering mindset to drive impactful data solutions· Experience working in distributed environments with global teams· Great numerical and analytical skills
Soft Skills· Analytical thinking skills· Excellent verbal and written communication skills· Problem-solving skills
Tools and Programs (Min 3 of these)· Python· SQL· Databricks· Kedro· Airflow· Luigi· PowerBI· Tableau· Java· C#
EducationA bachelor’s degree in computer science, data science, statistics or related field. A master’s degree in data management, information science or similar is preferred. Certifications from IBM, Google or Microsoft is desired.
Screening Criteria· A bachelor’s degree in computer science, data science, statistics or related field· 8+ years of hands-on experience designing, building, deploying, testing, maintaining, monitoring, and owning scalable, resilient, and distributed data pipelines· High proficiency in Scala/Java and Spark for applied large-scale data processing· Expertise with big data technologies, including Spark, Data Lake, Delta Lake, and Hive· Solid understanding of batch and streaming data processing techniques· Expert-level ability to write complex, optimized SQL queries across extensive data volumes· Expertise in atleast 3 of the followingo Pythono SQLo Databrickso Kedroo Airflowo Luigio PowerBIo Tableauo Javao C#· Exposure to data models, data mining, and segmentation techniques for both structured and unstructured data· Proficient knowledge of the Data Lifecycle Management process, including data collection, access, use, storage, transfer, and deletion· Experience with RDBMS and OLAP databases like MySQL, Redshift· Excellent understanding of operating systems like UNIX, Linux, and Windows· Hands-on data management in any of the hyperscalers – Azure, AWS, GCP
Considerations· Location – Hyderabad· Working from office· 5 day working
Evaluation ProcessRound 1 – HR RoundRound 2 & 3 – Technical RoundRound 4 – Discussion with CEO
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