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    Data Engineer - Hyderabad, India - RiskInsight Consulting Pvt Ltd

    RiskInsight Consulting Pvt Ltd
    RiskInsight Consulting Pvt Ltd Hyderabad, India

    6 days ago

    Default job background
    Full time
    Description

    Key Skills:

    • Strong AWS knowledge in terms of designing new architecture and providing optimized solution for existing one.
    • In-depth knowledge with respect to Snowflake and its architecture.
    • provide solutioning and drive the implementation of DOPS features which includes - building IAC infra, Git Lab re-structuring, Git lab Upgrades monitoring etc.,
    • Should have the vision on data strategy and able to deliver the same.
    • Should be able to lead the design and implementation of data management processes, including data sourcing, integration, and transformation.
    • Able to manage and lead a team of data professionals, providing guidance, mentoring and fostering a collaborative and innovative team culture focused on continuous improvement.
    • To evaluate and recommend data-related technologies, tools, and platforms.
    • Collaborate with IT teams to ensure seamless integration of data solutions.
    • should have experience in Implementing and enforce data security protocols and ensure compliance with relevant regulations.

    Required Qualifications:

    • Bachelor qualification in a computer science or STEM (science, technology, engineering, or mathematics) related field.
    • strong data warehousing experience using RDBMS and Non-RDBMS databases.
    • At least 5 years of recent hands-on professional experience (actively coding) handling support & production issues.
    • Professional experience working in an agile, dynamic and customer facing environment is required.
    • Understanding of distributed systems and cloud technologies (AWS) is highly preferred.
    • Understanding of data streaming and scalable data processing is preferred to have.
    • Experience with large scale datasets, data lake and data warehouse technologies such as AWS Redshift, Google BigQuery, Snowflake. Snowflake is highly preferred.
    • Atleast 2+ years of experience in ETL (AWS Glue), Amazon S3, Amazon RDS, Amazon Kinesis, Amazon Lambda, Apache Airflows, Amazon Step Functions.
    • Strong knowledge in scripting languages like Python, UNIX shell and Spark is required.
    • Understanding of RDBMS, Data ingestions, Data flows, Data Integrations etc.
    • Technical expertise with data models, data mining and segmentation techniques.
    • Experience with full SDLC lifecycle and Lean or Agile development methodologies.
    • Knowledge of CI/CD and GIT Deployments.
    • Ability to work in team in diverse/ multiple stakeholder environment.
    • Ability to communicate complex technology solutions to diverse teams namely, technical, business and management teams.

    Responsibilities:

    • Work with stakeholders to understand needs for data structure, availability, scalability, and accessibility.
    • Develop tools to improve data flows between internal/external systems and the data lake/warehouse.
    • Build robust and reproducible data ingest pipelines to collect, clean, harmonize, merge, and consolidate data sources.
    • Understanding existing data applications and infrastructure architecture
    • Build and support new data feeds for various Data Management layers and Data Lakes
    • Evaluate business needs and requirements.
    • Support migration of existing data transformation jobs in Oracle, and MS-SQL to Snowflake.
    • Lead the migration of the existing data transformation jobs in Oracle, Hive, Impala etc. into Spark, Python on Glue etc.
    • Able to document the processes and steps.
    • Develop and maintain datasets.
    • Improve data quality and efficiency.
    • Lead Business requirements and deliver accordingly.
    • Collaborate with Data Scientists, Architect and Team on several Data Analytics projects.
    • Collaborate with DevOps Engineer to improve system deployment and monitoring process.
    • Experience in critical production support and how the BAU functions is preferred.

    Soft Skills

    • Ability to work in a collaborative environment and coach other team members on coding practices, design principles, and implementation patterns that lead to high-quality maintainable solutions.
    • Excellent communications and stake-holder management is required.
    • Ability to handle the senior leadership and report to them if required.
    • Ability to work in a dynamic, agile environment within a geographically distributed team.
    • Ability to focus on promptly addressing customer needs.
    • Ability to work within a diverse and inclusive team.
    • Technically curious, self-motivated, versatile and solution oriented.
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