Module Lead
NexvalJob Description
Module Lead
Job Description
Job Summary –
Strong GCP developer using Python, Java who have experience in developing data pipelines on cloud (preferable Google cloud). Candidate should have experience of working with any public cloud and on-premises data driven ETL and applications. Candidate should be familiar with SQL concepts along with good experience in developing data pipelines for enterprise data applications.
Years of experience needed – Minimum 5 years.
Technical Skills:
Analyze data and write complex SQL queries in GCP Big Query to extract required information.
Create stream and batch data pipeline using Java in Apache beam with distributed data processing using Google Dataflow.
Understand customer requirement lead down by BSA and provide required data outputs.
Orchestrate data pipeline jobs using Google cloud composer.
Write code in Python / Java to receive streaming data from Google cloud pub/sub.
Maintain code in given Bit bucket code repository and use Terraform and Python based data pipeline to deploy code in various cloud environment.
Accept work, update status in JIRA and create documentation in Confluence.
Primary Skills | Mandatory | Good to have |
Very strong SQL, ability to write complex SQL to perform common types of analysis and aggregations | Expert |
|
Core Java | Advanced |
|
Apache Beam | Advanced |
|
Python programming | Basic |
|
ETL concepts |
| Basic |
Cloud Composer | Basic |
|
Dataflow | Basic |
|
Cloud Storage | Basic |
|
BigQuery | Basic |
|
Cloud Pub/Sub | Basic |
|
Process Skills:
Well-developed analytical & problem-solving skills
Strong oral and written communication skills
Excellent leadership skills with ability lead and guide and groom the team.
Behavioral Skills :
Excellent team player, able to work with virtual teams.
Ability to learn quickly in a dynamic start-up environment.
Able to talk to client directly and report to client/onsite.
Flexibility to work on different Shifts and Stretch.
About Mphasis
Mphasis applies next-generation technology to help enterprises transform businesses globally. Customer centricity is foundational to Mphasis and is reflected in the Mphasis’ Front2Back™ Transformation approach. Front2Back™ uses the exponential power of cloud and cognitive to provide hyper-personalized (C=X2C2TM=1) digital experience to clients and their end customers. Mphasis’ Service Transformation approach helps ‘shrink the core’ through the application of digital technologies across legacy environments within an enterprise, enabling businesses to stay ahead in a changing world. Mphasis’ core reference architectures and tools, speed and innovation with domain expertise and specialization are key to building strong relationships with marquee clients.
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