Process Manager

Process Manager

Process Manager - AWS Data Engineer

Mumbai/Pune | Full-time (FT) | Technology Services

Shift Timings - EMEA(1pm-9pm)| Management Level - PM| Travel Requirements - NA

The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors.

Process Manager Roles and responsibilities:

• Understand client's requirement and provide effective and efficient solution in AWS using Snowflake.
• Assembling large, complex sets of data that meet non-functional and functional business requirements Using Snowflake / Redshift
• Architect and design to create data pipeline and consolidate data on data lake and Data warehouse.
• Demonstrated strength and experience in data modeling, ETL development and data warehousing concepts
• Understanding data pipelines and modern ways of automating data pipeline using cloud based Testing and clearly document implementations, so others can easily understand the requirements, implementation, and test conditions
• Perform data quality testing and assurance as a part of designing, building and implementing scalable data solutions in SQL

Technical and Functional Skills:

• AWS Services: Strong experience with AWS data services such as S3, EC2, Redshift, Glue, Athena, EMR, etc.
• Programming Languages: Proficiency in programming languages commonly used in data engineering such as Python, SQL, Scala, or Java.
• Data Warehousing: Experience in designing, implementing, and optimizing data warehouse solutions on Snowflake/ Amazon Redshift.
• ETL Tools: Familiarity with ETL tools and frameworks (e.g., Apache Airflow, AWS Glue) for building and managing data pipelines.
• Database Management: Knowledge of database management systems (e.g., PostgreSQL, MySQL, Amazon Redshift) and data lake concepts.
• Big Data Technologies: Understanding of big data technologies such as Hadoop, Spark, Kafka, etc., and their integration with AWS.
• Version Control: Proficiency in version control tools like Git for managing code and infrastructure as code (e.g., CloudFormation, Terraform).
• Problem-solving Skills: Ability to analyze complex technical problems and propose effective solutions.
• Communication Skills: Strong verbal and written communication skills for documenting processes and collaborating with team members and stakeholders.
• Education and Experience: 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.

About eClerx

eClerx is a global leader in productized services, bringing together people, technology and domain expertise to amplify business results. Our mission is to set the benchmark for client service and success in our industry. Our vision is to be the innovation partner of choice for technology, data analytics and process management services. Since our inception in 2000, we've partnered with top companies across various industries, including financial services, telecommunications, retail, and high-tech.

Our innovative solutions and domain expertise help businesses optimize operations, improve efficiency, and drive growth. With over 18,000 employees worldwide, eClerx is dedicated to delivering excellence through smart automation and data-driven insights. At eClerx, we believe in nurturing talent and providing hands-on experience.

About eClerx Technology

eClerx's Technology Group collaboratively delivers Analytics, RPA, AI, and Machine Learning digital technologies that enable our consultants to help businesses thrive in a connected world. Our consultants and specialists' partner with our global clients and colleagues to build and implement digital solutions through a broad spectrum of activities.

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eClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, per applicable law