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Pull Skill Technologies

Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeHyderabad, Telangana, IndiaNo salary listedRemote

About the Job

Requirements

  • Advanced working knowledge of SQL, relational databases, query authoring, and a variety of databases.
  • Experience building and optimizing big data pipelines, architectures, and data sets.
  • Experience performing root cause analysis on internal and external data and processes to answer business questions and identify improvement opportunities.
  • Strong analytical skills related to working with unstructured datasets.
  • Ability to build processes supporting data transformation, data structures, metadata, dependency management, 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 stores.
  • Strong project management and organizational skills.
  • Technical expertise with data models, data mining, and segmentation techniques.
  • Experience with relational SQL and NoSQL databases, including PostgreSQL and Cassandra.
  • Experience with data pipeline and workflow management tools such as Azkaban, Luigi, and Airflow.
  • Experience with data storage technologies such as Amazon S3, Snowflake, Redshift, Hive, and HDFS.
  • Experience with stream-processing systems such as Storm and Spark Streaming.
  • Experience with object-oriented or object-function scripting languages such as Python, PySpark, Java, C++, and Scala.
  • Experience with data warehousing using Oracle or Snowflake.
  • Experience with ETL technologies such as Apache Spark, AWS Glue, Databricks, Apache Airflow, and Apache Hadoop.
  • Bachelor's degree in Computer Science or Information Technology, or equivalent work experience.
  • Experience supporting and working with cross-functional teams in a dynamic environment.

Responsibilities

  • Create and maintain optimal data pipeline architecture.
  • Assemble large, complex data sets that meet functional and non-functional business requirements.
  • Identify, design, and implement internal process improvements by automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability.
  • Build infrastructure 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 use the data pipeline to provide actionable insights for Information Asset customers' operational efficiency and key business performance metrics.
  • Work with Executive, Product, Data, and Design stakeholders to address data-related technical issues and support data infrastructure needs.
  • Create data tools for analytics to build and optimize the offering into an industry-leading solution.
  • Work with data and analytics experts to improve the functionality of data systems.

Desired Qualifications

  • Data engineering certification, such as IBM Certified Data Engineer or AWS Certified Data Analytics – Specialty.

About the Company

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