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Open nowFirst seen 31 hours ago

Cloud Data Engineer

Supersourcing80 open roles

Where
Remote
Work mode
Remote
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Your applicationOpen nowCloud Data EngineerSupersourcing · Remote

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Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: first seen 31 hours ago

The posting

Job Overview

We are on an exciting journey to build and scale our advanced analytics practice. We are looking for a

Cloud Data Engineer. The suitable candidate should have demonstrated experience in designing and

implementing ETL solutions on-premises and cloud platforms to support Enterprise data warehouse,

Data Lake and advanced analytics capabilities. Success in this role comes from marrying a strong data

engineering background with product and business acumen to deliver scalable data pipeline and BI

solutions that can enable data for Self Service and Advanced Analytics at TE in a simple and standard

manner.

Primary Responsibilities:

  • Design and develop ETL solutions using data warehouse design best practices for Next Generation Analytics platform on Big Data.
  • Analyze data requirements, complex source data, data models, and determine the best methods in extracting, transforming, and loading the data into the data staging, warehouse, and other system integration projects.
  • Document all ETL and data warehouse processes and flows.
  • Develop and deploy ETL job workflow with reliable error/exception handling and rollback.
  • Design, Develop, Test, Adapt ETL code & jobs to accommodate changes in source data and newbusiness requirements.
  • Manage foundational data administration tasks such as scheduling jobs, troubleshooting job errors, identifying issues with job windows, assisting with Database backups and performance tuning.
  • Ensure data quality throughout entire ETL process, including audits and of truth. Create or update technical documentation for transition to support teams.
  • Develop, contribute, and adhere to the development of standards and sound procedural practices.

Competencies & Experience Required/Desired:

  • 3+ years of Data Engineering experience in ETL design, development & optimization using tools like Talend, AWS Glue, etc.
  • 3+ years of experience on Big Data technologies like Hadoop, Spark with Scala or Python for developing flows using Batch, Realtime and Streaming processes3+ years of experience in Relational and No-SQL database design, optimization, and performanc with AWS Redshift, AWS Aurora, Oracle & SAP HANA, BW, etc.
  • 3+ years of PL/SQL, Complex SQL Tuning, Stored Procedures, Data Warehousing best practices experience2+ years of experience with AWS Services like S3, EMR, Athena, Glue, Lambda, Redshift, Aurora, etc.
  • Solid understanding of ETL pipeline and workflow managements tools such as AWS Glue, AWS
  • Kinesis, AWS App Flow, AWS Step Functions, etc.
  • Proficiency with modern software development methodologies such as Agile, source control CI/CD, project management and issue tracking with JIRA
  • Strong problem-solving capabilities. Results oriented. Relies on fact-based logic for decision making.
  • Ability to work with multiple projects and work streams at one time. Must be able to deliver results based upon project deadlines
  • Willing to flex daily work schedule to allow for time-zone differences for global team communications.
  • Strong interpersonal and communication skills

Education

A masters or bachelors degree in computer science, applied mathematics, software engineering, physics, or related quantitative discipline.

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