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    Data Engineer - Pune, India - YASH Technologies

    YASH Technologies
    YASH Technologies Pune, India

    1 week ago

    YASH Technologies background
    Description
    Job Description

    Masters / Bachelors Degree in Computer Science, Information Technology or other relevant fields.

    Minimum 2 + Years of Mandatory experience in Advance Data & Analytics Architecture, ETL, Data Engineering solution using the following Skills, tools and technologies:


    • AWS Data &

    Analytics Services:
    Athena, Glue, DynamoDB, Redshift, Kinesis, Lambda


    • Databricks Lakehouse Platform
    • PySpark, Spark SQL, Spark Streaming
    • Experience with any NoSQL Database
    • 2+ year of coding experience with modern programming or scripting language (Python).
    • Expert-level skills in writing and optimizing SQL.
    • Experience operating very large data warehouses or data lakes/ data platform.
    • Show efficiency in handling data - tracking data lineage, ensuring data quality, and improving discoverability of data.
    • Data Modelling, star schema, derivative, measures
    • Experience of working in Agile delivery
    • Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, and testing.
    • Excellent business and communication skills to work with business owners to understand data requirements.

    Responsibilities :


    You will be responsible to understand the client requirement and architect robust data platform on AWS cloud technologies and Databricks.


    • You will be responsible for identifying and creating reusable data solutions (accelerators, MVP)
    • You will be responsible for creating reusable components for rapid development of data platform
    • Work closely with the Product Owners and stake holders to design the Technical Architecture for data platform to meet the requirements of the proposed solution.
    • Work with the leadership to set the standards for software engineering practices within the Data engineering team and support across other disciplines
    • Play an active role in leading team meetings and workshops with clients.
    • Delivering and presenting proofs of concept to of key technology components to project stakeholders.
    • Educate clients on Cloud technologies and influence direction of the solution.
    • Choose and use the right analytical libraries, programming languages, and frameworks for each task.
    • Help us to shape the next generation of our products.
    • Explore and learn the latest AWS Data & Analytics and Databricks Platform features /technologies to provide new capabilities and increase efficiency.
    • Design, build and operationalize large scale enterprise data solutions and applications using one or more of AWS data and analytics services in combination with 3rd parties – Databricks, Spark, DynamoDB, RedShift, Kinesis, Lambda, Glue, Athena.
    • Analyze, re-architect and re-platform, migrate on-premise data warehouses to data platforms on AWS cloud using AWS or 3rd party services.
    • Design and build production data pipelines from ingestion to consumption within a big data architecture, using Python, PySpark, Databricks.
    • Design and implement data engineering, ingestion and curation functions on AWS cloud using AWS native or custom programming.
    • Perform detail assessments of current state data platforms and create an appropriate transition path to AWS cloud & Databricks.
    • Build and deliver high quality data architecture to support business analyst, data scientists, and customer reporting needs.
    Required Behavioral Competencies

    Accountability :

    Takes responsibility for and ensures accuracy of own work, as well as the work and deadlines of the team.


    Collaboration:
    Participates in team activities and reaches out to others in team to achieve common goals.

    Agility:
    Demonstrates a willingness to accept and embrace differing ideas or perceptions which are beneficial to the organization.

    Customer Focus:


    Displays awareness of customers stated needs and gives priority to meeting and exceeding customer expectations at or above expected quality within stipulated time.


    Communication:
    Targets communications for the appropriate audience, clearly articulating and presenting his/her position or decision.

    Drives Results:
    Sets realistic stretch goals for self & others to achieve and exceed defined goals/targets

    At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment.

    We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.

    Our Hyperlearning workplace is grounded upon four principles

    Flexible work arrangements, Free spirit, and emotional positivity
    Agile self-determination, trust, transparency, and open collaboration
    All Support needed for the realization of business goals,
    Stable employment with a great atmosphere and ethical corporate culture
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