Job Location: Panchkula

Project Description –

Vendor shall provide data engineering development, management, and consulting services delivered by an remote development team, which shall include:

• Data source integrations, Data Pipeline creations, ETL, and Data Lake design
• Co-develop data products based on stakeholder specifications
  ETL monitoring and troubleshooting

Scope of Work (Objectives, Expectations, and Deliverables):

To support a number of 2022 initiatives, MobilityWare is looking to onboard the following roles:

• Sr. Data Engineer(s) with 7-10 years of software engineering experience and minimum 4 years working with Big data in a cloud environment
• The engineer will work with the onshore team to design and implement big data pipelines, data warehouse solutions as well as perform code review among the team members.
• The engineer should have proven experience on production ETL system monitoring and troubleshooting
• Prior experience integrating with different types of data sources (API, batch, stream)
• The engineer should have a good track on handling ambiguous requirements
• The engineer should have experience on creating design specs, test cases and perform unit testing
• The engineer will be required to provide test results before delivery of the product to the onshore team/business clients.
• The engineer need to familiar with the github Mobilityware would participate in resource selection by interviewing each proposed candidate.
• Mobilityware will select candidates based on best fit for the role, technical abilities, and team fit.

Technical Skills:

• 7-10 years of experience in software development including Python, SQL, scala or Java
• 5 years on Data warehouse data model design, ETL process performance tuning
• 5 years experience on production system monitoring, troubleshooting using Python, SQL and airflow
• 4 years of experience with a public cloud AWS, Google, or Azure
• 3 year experience working on real-time data and streaming applications
• 3 years experience with Distributed data/computing tools (Spark, PySpark)
• 3 years of experience with UNIX/Linux including basic commands and shell scripting
• 2 year experience working on data job management software like Airflow, AWS Glue
• Good to have production deployment experience on Machine Learning models training and integration with application systems.

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