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    PU

    Pull Skil

    Information Technology

    Data Engineer

    Hyderabad, IndiaRemoteContract3+ yrs experiencePosted 3w ago
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    Job description

    Job Title: Data Engineer

    Duration: 6+ Months Contract

    Location: Remote India

    Duties And Responsibilities

    Essential Functions:

    ·         Create and maintain optimal data pipeline architecture.

    ·         Assemble large, complex data sets that meet functional / non-functional business requirements.

    ·         Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

    ·         Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.

    ·         Build analytics tools that utilize the data pipeline to provide actionable insights for Information Asset as well as Information Asset Customers’ operational efficiency and other key business performance metrics.

    ·         Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

    ·         Create data tools for analytics to build and optimize offering into an industry leading solution

    ·         Work with data and analytics experts to strive for greater functionality data systems.

    Position Requirements

    ·         Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

    ·         Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.

    ·         Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

    ·         Strong analytic skills related to working with unstructured datasets.

    ·         Build processes supporting data transformation, data structures, metadata, dependency and workload management.

    ·         A successful history of manipulating, processing and extracting value from large, disconnected datasets.

    ·         Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.

    ·         Strong project management and organizational skills.

    ·         Excellent writing and verbal communication skills and a high level of customer orientation

    Working Environment/Travel Requirements

    This is a remote working position and you will be expected to work out of a home office with high speed internet and phone connection to enable seamless virtual presence.

    Qualifications

    Required Education and Experience:

    ·         Bachelor’s degree in computer science or information technology, or equivalent work experience.

    ·         3+ years as a Data Engineer.

    ·         Data engineering certification (e.g. IBM Certified Data Engineer, AWS Certified Data Analytics - Specialty) is a plus.

    ·         Must have technical expertise with data models, data mining, and segmentation techniques.

    ·         Experience using any of all of a combination of the following software/tools: • Relational SQL and NoSQL databases, including Postgres and Cassandra.

    ·         Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.

    ·         Data Storage Technologies like Amazon S3, Snowflake/Redshift, Hive, HDFS

    ·         Stream-processing systems: Storm, Spark-Streaming, etc.

    ·         Object-oriented/object function scripting languages: Python/ pySpark, Java, C++, Scala, etc.

    ·         Data warehousing using Oracle/Snowflake.

    ·         ETL Technologies like -Apache Spark/AWS Glue/ Databricks, Apache Airflow, Apache Hadoop.

    ·         Experience supporting and working with cross-functional teams in a dynamic environment.

    Regards,

    Nick Arthur (Nizam)

    Associate Director, Recruitment

    Pull Skill Technologies India.

    +91 7416706136

    LinkedIn: linkedin.com/in/nick-arthur-83937b62

    Any

    All your information will be kept confidential according to EEO guidelines.

    Job details are sourced from the employer's original posting.

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    PU

    About the company

    Pull Skil

    Pull Skill Technologies India

    View all Pull Skil jobs
    Industry
    Information Technology
    Open roles
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