IN-Senior Associate _GCP Data Engineer_Data and Analytics_ Advisory_Bangalore

Description

& Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics.

We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology.

We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

Responsibilities:

Design and implement scalable, efficient, and secure data pipelines on GCP, utilizing tools such as BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Storage.

Collaborate with cross-functional teams (data scientists, analysts, and software engineers) to understand business requirements and deliver actionable data solutions.

 Develop and maintain ETL/ELT processes to ingest, transform, and load data from various sources into GCP-based data warehouses.

Build and manage data lakes and data marts on GCP to support analytics and business intelligence initiatives.

 Implement automated data quality checks, monitoring, and alerting systems to ensure data integrity.

 Optimize and tune performance for large-scale data processing jobs in BigQuery, Dataflow, and other GCP tools.

Create and maintain data pipelines to collect, clean, and transform data for analytics and machine learning purposes.

Ensure data governance and compliance with organizational policies, including data security, privacy, and access controls.

 Stay up to date with new GCP services and features and make recommendations for improvements and new implementations.

Mandatory skill sets:

GCP, Big query , Data Proc

Preferred skill sets:

GCP, Big query , Data Proc, Airflow

Years of experience required:

4-7

Education qualification:

B.Tech / M.Tech / MBA / MCA

Education

Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration, Master of EngineeringDegrees/Field of Study preferred:

Certifications

Required Skills

Good Clinical Practice (GCP)

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline, Data Quality, Data Transformation, Data Validation {+ 18 more}

Desired Languages

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date