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8 Weeks ago

Data Engineer

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Hyderabad, Telangana, India
Information Technology
Paktolus

Overview

Responsibilities:

  • Drive automation of infrastructure and deployment systems.
  • Work within engineering teams to build data processing pipeline.
  • Help team to automate data solutions.
  • Build applications for next-gen data warehouse solutions.
  • Collaborate with development teams to automate the configuration management, build, release, deployment, and monitoring processes.
  • Build processes and methodologies to implement new solutions.
  • Contribute and create a motivated work environment within the team.
  • Mentor other team members and promote opportunities.

Requirements:

  • Bachelor’s degree in fields of Computer Science, Statistics or an equivalent.
  • Should have good understanding of Spark architecture and similar projects.
  • Must have strong proficiency in Python with an emphasis in building data pipelines.
  • Must have ability to write complex SQL to perform common types of analysis and aggregations.
  • Must have experience in Airflow log management and log monitoring.
  • Should have worked with integration Spark workloads on Airflow.
  • Should have acumen to optimize and better manage Spark workloads by designing efficient DAGs.
  • Should have worked on big data ecosystem and possess experience in storage, processing, and management of large data volumes.
  • Should have worked with AWS data analytics tools like Glue, EMR, Athena, Kinesis.
  • Should have working knowledge of delta lake, Apache Hudi and tools alike.
  • Should have good understanding of deploying functions and building backend applications using AWS Lambda, API Gateways, or equivalent tools.
  • Should have experience developing data driven applications with either of Scala or Python.
  • Should have experience of SDLC
  • Should have knowledge in version control tools like GitHub, TFS, Code Commit.
  • Knowledge of Docker and Kubernetes is a plus.
  • Should have experience working with large scale distributed systems and service-oriented architectures.
  • Should have working experience with one of the tools like Snowflake, Redshift or Databricks SQL Analytics.
  • AWS certification is a plus.
  • Should possess good communication skills and ability to interact with stakeholders.
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