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Process Manager

Process Manager

eClerx

5 - 10 years

4 - 8 Lacs

pune

Posted:None| Platform:

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Skills Required

aws cloud data services version control data engineering aws glue scala amazon redshift emr sql java git process management postgresql spark mysql hadoop etl snowflake python airflow aws cloudformation aws glue amazon ec2 kafka athena terraform

Work Mode

Work from Office

Job Type

Full Time

Job Description

He/she must positively influence the team, motivate high performance, promote a friendly climate, give constructive feedback, provide development opportunities, and manage career aspirations of direct reports. Communication skills are key here, to explain organizational objectives, assignments, and the big picture to the team, and to articulate team vision and clear objectives.

Process ManagerRoles and responsibilities:

Designing and implementing scalable, reliable, and maintainable data architectures on AWS.
Developing data pipelines to extract, transform, and load (ETL) data from various sources into AWS environments.
Creating and optimizing data models and schemas for performance and scalability using AWS services like Redshift, Glue, Athena, etc.
Integrating AWS data solutions with existing systems and third-party services.
Monitoring and optimizing the performance of AWS data solutions, ensuring efficient query execution and data retrieval.
Implementing data security and encryption best practices in AWS environments.
Documenting data engineering processes, maintaining data pipeline infrastructure, and providing support as needed.
Working closely with cross-functional teams including data scientists, analysts, and stakeholders to understand data requirements and deliver solutions.

Technical and Functional Skills:

Typically, a bachelors degree in Computer Science, Engineering, or a related field is required, along with 5+ years of experience in data engineering and AWS cloud environments.
Strong experience with AWS data services such as S3, EC2, Redshift, Glue, Athena, EMR, etc
Proficiency in programming languages commonly used in data engineering such as Python, SQL, Scala, or Java.
Experience in designing, implementing, and optimizing data warehouse solutions on Snowflake/ Amazon Redshift.
Familiarity with ETL tools and frameworks (e.g., Apache Airflow, AWS Glue) for building and managing data pipelines.
Knowledge of database management systems (e.g., PostgreSQL, MySQL, Amazon Redshift) and data lake concepts.
Understanding of big data technologies such as Hadoop, Spark, Kafka, etc., and their integration with AWS.
Proficiency in version control tools like Git for managing code and infrastructure as code (e.g., CloudFormation, Terraform).
Ability to analyze complex technical problems and propose effective solutions.
Strong verbal and written communication skills for documenting processes and collaborating with team members and stakeholders.

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Process Manager