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    Data Engineer with Innovative Entity in Insurance Industry - Hyderabad, India - 10XTD

    10XTD
    10XTD Hyderabad, India

    1 week ago

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    Human Resources
    Description

    Compelling Opportunity for Data Engineer with Innovative Entity in Insurance Industry

    Employment | Immediate

    Location: Hyderabad, India

    Reporting Manager: Head of Analytics

    Work Pattern: Full Time, 5 days in the office

    Minimum 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#

    Education

    A 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 following

    o Python

    o SQL

    o Databricks

    o Kedro

    o Airflow

    o Luigi

    o PowerBI

    o Tableau

    o Java

    o 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 Process

    Round 1 – HR Round

    Round 2 & 3 – Technical Round

    Round 4 – Discussion with CEO

    Interested Profiles,

    · Do write to with the Subject –Data Engineer

    Kindly share the following inputs

    o Confirmation that the pre-requisites for the role are fully met

    o C.V for Reference

    Note

    o Additional inputs to be gathered from the candidate to put together the application

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