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Deputy Manager - Data Engineer II

AxisMaxlife -
Remote

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Job details

23 hours ago

Qualifications

BCS
CI/CD
Data modelling
Computer Science
Big data
DevOps
Spark
AWS Certification
Master's degree
SQL
AWS
Analysis skills
Bachelor's degree
PostgreSQL
Distributed systems
Continuous integration
S3
Kafka
Metadata
Redshift
RDS database
PL/SQL
Communication skills
Data warehouse
Python

Full job description

Job Description

Position

Deputy Manager – Data EngineeringPosition

1

Department

AI WorksDepartment

Data Engineering

Reporting to

Reporting to

3Location

GurgaonLocation

GurgaonJOB SUMMARY:
We are seeking a skilled Data Engineer to join our dynamic team. In this role, will be responsible for implementing and maintaining scalable data pipelines and infrastructure on AWS cloud platform. The ideal candidate will have experience with AWS services, particularly in the realm of big data processing and analytics.

The role involves working closely with cross-functional teams to support data-driven decision-making and focus on delivering business objectives while improving efficiency and ensuring high service quality.

KEY RESPONSIBILITIES:
Develop, and maintain large-scale data pipelines that can handle large datasets from multiple sources.
Implement real-time data replication and batch processing of data using distributed computing platforms like Spark, Kafka, etc.
Optimize performance of data processing jobs and ensure system scalability and reliability.
Collaborate with DevOps teams to manage infrastructure, including cloud environments like AWS
Collaborate with data scientists, analysts, and business stakeholders to develop tools and platforms that enable advanced analytics and reporting.
Strong analytical and problem-solving skills with attention to detail.
To maintain a healthy working relationship with the business partners/users and other MLI departments
Responsible for overall performance, cost and delivery of technology solutions

Key Technical competencies/skills required

Hands-on experience with AWS services such as S3, Lambda, EMR, Glue, Redshift,RDS (Postgres) Athena, etc.
Knowledge of data modelling and knowledge of modern file and table formats.
Proficiency in programming languages such as Python, PySpark, SQL/PLSQL for implementing data pipelines and ETL processes.
Knowledge of modern data stack.
Knowledge of DevOps to perform CI/CD for data pipelines.
Knowledge of Data Observability, automated data lineage and metadata management would be an added advantage.
Cloud/hybrid cloud (preferable AWS) solution for data strategy for Data lake, BI and Analytics
Set-up logging, monitoring, alerting, dashboards for cloud solution and data solution
Experience with data warehousing concepts.

Desired qualifications and experience:
Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred).
Proven experience of 2 to 5 years as a Data Engineer or similar role with a strong focus on AWS cloud
Strong analytical and problem-solving skills with attention to detail.
Excellent communication and collaboration skills.
AWS certifications (e.g., AWS Certified Big Data - Specialty) are a plus

Apply Now

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