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2 Days ago

Sr Data Engineer

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Bangalore, Karnataka, India
Information Technology
Full-Time
Uber

Overview

About The Role

As a Sr. Data Engineer in the Sales Automation Engineering team you should be able to work through the different areas of Data Engineering & Data Architecture including the following:

  • Data Migration - From Hive/other DBs to Salesforce/other DBs and vice versa
  • Data Modeling - Understand existing sources & data models and identify the gaps and building future state architecture
  • Data Pipelines - Building Data Pipelines for several Data Mart/Data Warehouse and Reporting requirements
  • Data Governance - Build the framework for DG & Data Quality Profiling & Reporting

What The Candidate Will Need / Bonus Points

---- What the Candidate Will Do ----

  • Demonstrate strong knowledge of and ability to operationalize, leading data technologies and best practices.
  • Collaborate with internal business units and data teams on business requirements, data access, processing/transformation and reporting needs and leverage existing and new tools to provide solutions.
  • Build dimensional data models to support business requirements and reporting needs.
  • Design, build and automate the deployment of data pipelines and applications to support reporting and data requirements.
  • Research and recommend technologies and processes to support rapid scale and future state growth initiatives from the data front.
  • Prioritize business needs, leadership questions, and ad-hoc requests for on-time delivery.
  • Collaborate on architecture and technical design discussions to identify and evaluate high impact process initiatives.
  • Work with the team to implement data governance, access control and identify and reduce security risks.
  • Perform and participate in code reviews, peer inspections and technical design/specifications.
  • Develop performance metrics to establish process success and work cross-functionally to consistently and accurately measure success over time
  • Delivers measurable business process improvements while re-engineering key processes and capabilities and maps to future-state vision
  • Prepare documentations and specifications on detailed design.
  • Be able to work in a globally distributed team in an Agile/Scrum approach.

Basic Qualifications

  • Bachelor's Degree in computer science or similar technical field of study or equivalent practical experience.
  • 8+ years professional software development experience, including experience in the Data Engineering & Architecture space
  • Interact with product managers, and business stakeholders to understand data needs and help build data infrastructure that scales across the company
  • Very strong SQL skills - know advanced level SQL coding (windows functions, CTEs, dynamic variables, Hierarchical queries, Materialized views etc)
  • Experience with data-driven architecture and systems design knowledge of Hadoop related technologies such as HDFS, Apache Spark, Apache Flink, Hive, and Presto.
  • Good hands on experience with Object Oriented programming languages like Python.
  • Proven experience in large-scale distributed storage and database systems (SQL or NoSQL, e.g. HIVE, MySQL, Cassandra) and data warehousing architecture and data modeling.
  • Working experience in cloud technologies like GCP, AWS, Azure
  • Knowledge of reporting tools like Tableau and/or other BI tools.

Preferred Qualifications

  • Python libraries (Apache spark, Scala)
  • Working experience in cloud technologies like GCP, AWS, Azure
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