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Premium Employer

ATMECS Global

Compare

3.5

based on 223 Reviews

1 ATMECS Global Data Engineer Job

Sr. Data Engineer

ATMECS Technologies Pvt., Ltd.

3.5

based on 223 Reviews

4-5 years

Hyderabad / Secunderabad

1 vacancy

Sr. Data Engineer

ATMECS Global

posted 3mon ago

Job Role Insights

Flexible timing

Key skills for the job

Data Analytics Python SQL Automation Testing Agile Coaching Apache Nifi

+ 3 more

Job Description

Data Engineer, responsible for expanding and optimization of data and data pipeline architecture. The Data Engineer will be responsible to develop,
construct, test and maintain data pipeline for various initiatives. The ideal candidate is an experienced data pipeline builder who will support re-designing organizations data architecture to support our next generation of products and data initiatives.

Responsibilities:

Assemble complex data sets that meet functional /non-functional business requirements
Identify, design, and implement optimized data delivery with high level of automation for greater scalability
Build Analytics tools and products that utilizes data infrastructure to provide actionable insights
Participate in development to build scalable product and platforms for commercialization
Respond to and resolve to production issues

Qualifications:

Bachelors degree in Computer Science, Information Systems or Engineering is required, or in lieu, a demonstrated equivalence in work experience; MS in Computer Science is desirable
A minimum of 4-5 years of experience in software development in Core Java, Python, NoSQL and/or RDBMS database environment
Required technical skills: Core Java, Python, spark, pySpark, SQL (PostgreSQL Preferred), NoSQL (Elastic and or any document database preferred), Messaging system (Kafka preferred), Distributed Data Processing system (Apache Spark preferred)
Desirable technical skills: Data-pipeline job scheduling and monitoring tools (Apache Airflow preferred), Micro-services, Knowledge of math/statistical libraries and
operationalization of statistical and machine learning model
Experienced working in Cloud environment (AWS preferred) for development and production operationalization
Strong understanding of system architecture, object-oriented design, functional constructs, and distributed architectures
Good financial industry knowledge. Knowledge with Market & fundamental Data added advantage
Working knowledge and strong analytical skill working with semi-structured and unstructured datasets
Experience with software development lifecycle (SDLC) methodologies (Agile preferred)
Proficiency in the development environment, including IDE, source control system, unit-testing tool and defect management tool using automated build and deployment (CI/CD)
Excellent communication skills are essential, with strong verbal and writing proficiencies