Data Engineer 2

1 week ago

Chennai, Tamil Nadu, India Comcast Corporation Full time

Job Summary

We are seeking a highly skilled Data Engineer to join our team at Comcast Corporation.

The Data Engineer will design, build, and oversee the deployment and operation of technology architecture, solutions, and software to capture, manage, store, and utilize structured and unstructured data from internal and external sources. This role establishes and builds processes and structures based on business and technical requirements to channel data from multiple inputs, route appropriately, and store using any combination of distributed (cloud) structures, local databases, and other applicable storage forms as required.

The ideal candidate will develop technical tools and programming that leverage artificial intelligence, machine learning, and big-data techniques to cleanse, organize, and transform data and to maintain, defend, and update data structures and integrity on an automated basis. Additionally, this role creates and establishes design standards and assurance processes for software, systems, and applications development to ensure compatibility and operability of data connections, flows, and storage requirements.

This position will review internal and external business and product requirements for data operations and activity and suggest changes and upgrades to systems and storage to accommodate ongoing needs. The Data Engineer will work with data modelers/analysts to understand the business problems they are trying to solve and create or augment data assets to feed their analysis.

Core Responsibilities

  • Develops data structures and pipelines aligned to established standards and guidelines to organize, collect, standardize, and transform data that helps generate insights and address reporting needs.
  • Ensures data quality during ingest, processing, as well as final load to the target tables.
  • Creates standard ingestion frameworks for structured and unstructured data as well as checking and reporting on the quality of the data being processed.
  • Creates standard methods for end users/downstream applications to consume data including but not limited to database views, extracts, and Application Programming Interfaces.
  • Develops and maintains information systems (e.g., data warehouses, data lakes) including data access Application Programming Interfaces.
  • Participates in the implementation of solutions via data architecture, data engineering, or data manipulation on both on-prem platforms like Kubernetes and Teradata as well as Cloud platforms like Databricks.
  • Determines the appropriate storage platform across different on-prem (minIO and Teradata) and Cloud (AWS S3, Redshift) depending on the privacy, access, and sensitivity requirements.
  • Understands the data lineage from source to the final semantic layer along with the transformation rules applied to enable faster troubleshooting and impact analysis during changes.
  • Collaborates with technology and platform management partners to optimize data sourcing and processing rules to ensure appropriate data quality as well as process optimization.
  • Handles data migrations/conversions as data platforms evolve and new standards are defined.
  • Preemptively recognizes and resolves technical issues utilizing knowledge of policies and processes.
  • Understands the data sensitivity, customer data privacy rules, and regulations and applies them consistently in all Information Lifecycle Management activities.
  • Identifies and reacts to system notifications and logs to ensure quality standards for databases and applications.
  • Solves abstract problems beyond single development language or situation by reusing data files and flags already set.
  • Solves critical issues and shares knowledge such as trends, aggregate, quantity, and volume regarding specific data sources.
  • Consistent exercise of independent judgment and discretion in matters of significance.
  • Regular, consistent, and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary.

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