IN_Senior Associate_ Data Engineering _ Data & Analytics_ Advisory _Bangalore

Description

& Summary : A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations 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 :

Position : Data Engineering / Senior Associate

Experience : 5- 8 Years

Location : Bangalore

Type : Full Time

Certifications : Spark 3.0(Mandatory) and / or Databricks Advanced / Professional Architect.

About the Role :

We are seeking an experienced and Senior Associate with 5-8 years of experience specializing in data services, data architecture, and data platforms to lead our Data engineering engagements. The ideal candidate will have a strong hands-on background in data engineering with specific expertise in Spark, PySpark, and Python . Additionally, experience with cloud-native data engineering platforms like Databricks , Azure Data Engineering or Amazon Web Services (AWS) is highly desirable.

Responsibilities :

• Design, develop, and maintain scalable data pipelines and architectures using Spark, PySpark, and Python.
• Lead and manage a team of data engineers, providing technical guidance, mentorship, and performance management.
• Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions.
• Ensure data quality, integrity, and security across all data engineering projects.
• Implement best practices for data engineering, including code reviews, testing, and documentation.
• Stay up-to-date with the latest industry trends and technologies in data engineering and cloud computing.
• Work closely with stakeholders to understand business needs and translate them into technical requirements.
• Manage project timelines, resources, and budgets to ensure successful delivery of data engineering projects.

Required Skills :

Preferred Qualifications :

Mandatory skill sets :

Additional skill sets preferred :

Years of experience required :

Experience : 5 - 8 Years

Education qualification :

B.Tech / M.Tech / MCA / MBA

Education

Degrees / Field of Study required : Bachelor of Engineering, Bachelor of TechnologyDegrees / Field of Study preferred :

Certifications

Required Skills

Python (Programming Language)

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more}

Desired Languages

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date