Senior AWS Data Engineers
- Coforge
- 7 - 10 years
- Hyderabad
- 2 months ago
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Job Description
We are Hiring For Senior AWS Data Engineers ( Python Advance, PySQL, PySpark & AWS Services - Glue, Lambda ) at Coforge Ltd.
Job Summary:-
We are seeking a highly skilled and experienced Senior AWS Data Engineer to join our dynamic Data & Analytics team. In this critical role, you will be instrumental in designing, building, and maintaining robust and scalable data pipelines and data warehousing solutions on the AWS platform. You will leverage your deep expertise in cloud technologies, programming languages, and data engineering principles to drive data-driven insights and support our growing business needs.
Experience Required: 7 to 10 Years.
Job Location:- Hyderabad Only ( Work From Office )
Share Your CV - ga***********r@co****e.com
WhatsApp Me For Any Queries - 9667427*** (Gaurav Sinha)
JD:-
Responsibilities:
* Design, develop, and maintain scalable and efficient ETL/ELT pipelines using AWS services such as Glue, Lambda, Step Functions, Apache Airflow, and Apache AppFlow.
* Build and optimize data models and data warehouse solutions on AWS Redshift and other relevant data stores.
* Implement and manage data lakes on AWS S3, ensuring data quality, security, and accessibility.
* Develop and deploy data processing applications using Python (Advanced), PySpark, and PySQL.
* Utilize AWS Athena and other query services to enable data exploration and analysis.
* Work with relational databases (SQL, PL/SQL) for data extraction, transformation, and loading.
* Implement and enforce data governance policies and procedures.
* Monitor and optimize the performance of data pipelines and data warehouse systems.
* Troubleshoot and resolve data-related issues in a timely manner.
* Collaborate effectively with data scientists, analysts, and other stakeholders to understand their data requirements and deliver solutions.
* Stay up-to-date with the latest advancements in AWS data services and big data technologies.
* Contribute to the documentation of data pipelines, data models, and best practices.
Required Skills and Experience:-
* Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
* 7 to 10 years of proven experience in data engineering roles.
* Strong knowledge and hands-on experience with AWS cloud services:
* S3, EC2, Athena, Lambda, CloudWatch
* Apache Airflow, Apache AppFlow
* EMR, Glue
* RDS, DMS
* Redshift
* Strong proficiency in programming languages:
* Python Advance (including relevant data manipulation libraries)
* PySQL
* PySpark (experience with Spark ecosystem)
* Solid understanding and practical application of Data Warehousing and ETL/ELT concepts.
* Strong knowledge of any database system:
* SQL (ability to write complex and optimized queries)
* Experience with PL/SQL is a plus.
* Demonstrable understanding of Data & Analytics principles and how data pipelines support them.
* Familiarity with Data Governance best practices and implementation.
* Proven ability in Performance Tuning and Optimization of data pipelines and database queries.
* Excellent problem-solving and analytical skills.
* Strong communication and collaboration skills.
* Ability to work independently and as part of a team.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & Analytics, Role Category: Data Science & Machine LearningRole: Data EngineerEmployement Type: Full timeContact Details:
Company: CoforgeLocation(s): Hyderabad
Keyskills: Data Engineering Aws Lambda Aws Glue
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Coforge previously known as NIIT Technologies is a global IT solutions organization addressing the requirements of clients across the Americas, Europe, Asia, and Australia. Coforge services clients in travel and transportation, banking and financial services, insurance, manufacturing, and media v...
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