LTIMindtree | GCP Data Engineer
2 weeks ago
Experience: 3 to 12 Yrs.
Joining Time: Less than 30-45 days
Location: Any
If the above criteria are matching your profiles, please share your profile to with below details.
Total Experience:
Relevant in GCP:
Relevant in Big Query:
Relevant in Python:
Current CTC:
Expected CTC:
Current Location:
Preferred Location
Offer in hand if any:
Pan Card No:
Notice period/how soon you can join:
Job Description:
• Develop EL/ELT/ETL pipelines to make data available in BigQuery analytical data store from disparate batch, streaming data sources for the Business Intelligence and Analytics teams. • Hands on experience in Pyspark needed - Data Engineer role.
• Work with on-prem data sources (Hadoop, SQL Server), understand the data model, business rules behind the data and build data pipelines (with GCP, Informatica) for one or more business verticals. This data will be landed in GCP BigQuery.
• Build cloud-native services and APIs to support and expose data-driven solutions.
• Partner closely with our data scientists to ensure the right data is made available in a timely manner to deliver compelling and insightful solutions.
• Design, build and launch shared data services to be leveraged by the internal and external partner developer community.
• Building out scalable data pipelines and choosing the right tools for the right job. Manage, optimize and Monitor data pipelines.
• Provide extensive technical, strategic advice and guidance to key stakeholders around data transformation efforts. Understand how data is useful to the enterprise.
• Ability to work in a team environment - sharing ideas and working collaboratively.
• Strong organizational and analytical skills
• Excellent interpersonal and written/verbal communication skills.
• Act as self-starter with the ability to take on complex projects and perform independent analysis.
Skills
GCP BigQuery
"LTIMindtree is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, ethnicity, nationality, gender, gender-identity, gender expression, language, age, sexual orientation, religion, marital status, veteran status, socio-economic status, disability or any other characteristic protected by applicable law."
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