Data Engineer

4 weeks ago

india Tekwissen India Full time

Overview:

TekWissen Group is a workforce management provider throughout the India and many other countries inthe world. The below job opportunity is one of Our clients which is is a multi-industry company that leverages its global network of aircraft, defense, industrial and finance businesses to provide customers with innovative solutions and service

Position: Data Engineer

Location: Banglore

Job Type: Contract

Work Type: Onsite

Job Description:

  • Data Engineers build and maintain data systems in support of data analytics and data science activities.

  • The Data Engineer will implement methods to improve data reliability, data quality, and ensure success in data-driven initiatives.

  • This position within IT Data & Analytics is responsible for identifying, developing, and executing solutions that support reliable and efficient extraction of data from source systems and loading of that data into analytic platforms.

  • The Data Engineer will help administer data platforms and consult with data analysts and data scientists on process optimization and data quality improvements. At client, we are building a community of Data & Analytics professionals with an emphasis on collaboration and cross-functional support. Y

  • ou will have the opportunity to work closely with your peers throughout the organization toward a vision of data driven strategy.

PRINCIPAL RESPONSIBILITIES:

  • Gain core business understanding of client aviation and aircraft design, operation, and support

  • Query, clean, transform, and stage data (ETL/ELT) across on-prem and cloud environments

  • Support data analytics and data science activities by implementing, maintaining, and optimizing production ready data pipelines

  • Install and update software to ensure data platform continuity

  • Administer a CI/CD compliant code repository during development and update activities

  • Research and lead implementation of new technologies to support analytics function

  • Interface with other data professionals throughout the organization to embrace cross functional growth in analytics capabilities

  • Work to improve data quality by leading data governance efforts in creating and maintaining data quality standards

  • Plan and execute projects according to established milestones and schedules

  • Conduct project/program briefings to management and end users

  • Develop and lead training for users in data & analytic tools and processes per best practices and compliance standards

  • Contribute to the resolution of service tickets pertaining to data infrastructure

  • Serve as an internal consultant to business leaders by advising on system capabilities

  • Provide technical leadership and mentoring to other Data & Analytics professionals

TECHNICAL COMPETENCIES:

  • Strong programming skills in SQL (other OOP languages also preferred)

  • Familiarity with Python, Java, or other OOP languages

  • Ability to create and schedule data pipelines (i.e. Apache Airflow, Azure Data Factory, etc)

  • Experience with on-premise data warehouses and/or data lakes (i.e. Oracle, SQL Server, SAP HANA etc)

  • Experience with cloud data lake/warehouse tech (i.e. Azure, Databricks, AWS, Snowflake etc)

  • Familiarity with big data parallel processing frameworks such as Apache Hadoop, Spark, Dask, is preferred

  • Linux and Windows OS experience including the command line

  • Experience with server and software administration

  • Comfortable with CI/CD processes in Github, Azure DevOps etc.

  • Familiar with software development lifecycle, including waterfall, agile, and DevOps methodologies

ADDITIONAL COMPETENCIES:

  • Microsoft Azure certification is a plus

  • Exceptional communication (verbal, written) skills

  • Action oriented and seizes opportunities

  • Strong analytical and problem-solving skills

  • Quickly grasps new concepts when faced with unfamiliar tasks

  • Professional and diplomatic demeanor

  • Team player

  • Should be self-motivated and able to work independently and as part of the team

  • Ability to work in a fast-paced environment and handle multiple tasks simultaneously

  • Cross cultural work experience

  • Good Problem solving skills

  • Effective time and priority management"

TekWissen Group is an equal opportunity employer supporting workforce diversity.

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