Job highlights

- Required skills experience: . Proficiency in designing and building complex data pipelines and data processing systems
- Required Skills . AWS Glue,Microsoft Azure .
- Your experience will be instrumental in optimizing data processes,ensuring data quality,and driving data-driven decision-making within the organization

Responsibilities:

Job title: Data Engineer

About the role

As a Junior/Senior Data Engineer, youll be taking the lead in designing and maintaining complex data ecosystems. Your experience will be instrumental in optimizing data processes, ensuring data quality, and driving data-driven decision-making within the organization.

Responsibilities

- Architecting and designing complex data systems and pipelines.
- Leading and mentoring junior data engineers and team members.
- Collaborating with cross-functional teams to define data requirements.
- Implementing advanced data quality checks and ensuring data integrity.
- Optimizing data processes for efficiency and scalability.
- Overseeing data security and compliance measures.
- Evaluating and recommending new technologies to enhance data infrastructure.
- Providing technical expertise and guidance for critical data projects.

Required skills experience:
- Proficiency in designing and building complex data pipelines and data processing systems.
- Leadership and mentorship capabilities to guide junior data engineers and foster skill development.
- Solid expertise in data modeling and database design for optimal performance.
- Skill in optimizing data processes and infrastructure for efficiency, scalability, and cost-effectiveness.
- Knowledge of data governance principles, ensuring data quality,



security, and compliance.
- Familiarity with big data technologies like Hadoop, Spark, or NoSQL.
- Expertise in implementing robust data security measures and access controls.
- Effective communication and collaboration skills for cross-functional teamwork and defining data requirements.

Skills:
- Cloud: Azure/GCP/AWS
- DE Technologies: ADF, Big Query, AWS Glue etc.,
- Data Lake: Snowflake, Data Bricks etc.,

Mandatory skill sets: Cloud: Azure/GCP/AWS DE Technologies: ADF, Big Query, AWS Glue etc.,

Data Lake: Snowflake, Data Bricks etc.

Preferred skill sets:

Cloud: Azure/GCP/AWS DE Technologies: ADF, Big Query, AWS Glue etc.,

Data Lake: Snowflake, Data Bricks etc.

Years of experience required:

2-4 years

Education qualification:

BE/BTECH, ME/MTECH, MBA, MCA

Certifications

AWS Glue, Microsoft Azure

Required Skills

AWS Glue, Microsoft Azure

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Apache Hadoop, Azure Data Factory, Communication, 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, Data Warehouse, Data Warehouse Indexing {+ 13 more}

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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