Senior Data Engineer

1 month ago

Mumbai, India exponentia Full time

Job Details :

Position : Senior Data Engineer - AWS

Experience : 10+ Years (5 Years hands-on AWS Data Engineering)

Location : Mumbai (Remote)

Required Skills : AWS (S3, Glue, Lambda, & RedShift), ETL, Data Quality & Data Modeling (Conceptual)

Role Overview :

- A Senior Data Engineer who understands client requirements, develops and delivers the analytical solutions as per the scope.

- The role requires good business understanding, ETL development, data modeling and API development experience on AWS.

Job Responsibilities :

- Design and development of data solution including data lake, data marts and other data solutions to support the analytics needs of the organization

- Apply best practices during design in data modeling (logical, physical) and ETL pipelines (streaming and batch)

- Design, develop and manage the pipelining (collection, storage, access), data engineering (data quality, ETL, Data Modeling) and understanding (documentation, exploration) of the data;

- Interact with stakeholders regarding data availability and report format/presentation, to ensure the report provides the information the stakeholders need without compromising the report's accuracy;

- Must be able to manage small team of technical developers to deliver the end -to-end solutions.

Required Skills :

- Hands on experience with AWS data components is required (e.g., S3, Redshift, Athena, EMR, Kinesis and Glue)

- The ability to design, implement and use effective database structures to ensure data is organised effectively and ready for downstream development of data science and analytics

- Experience working in a structured environment and desire for good documentation, exceptional delivery, effective organisation, and high -quality communication

- Strong SQL and data profiling skills

- Hands-on ELT experience using tools like Streams and Tasks or DBT

- Familiarity with a traditional BI application such as Power BI, Tableau or Spotfire

- Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

- Solid understanding of data warehousing principles, concepts and best practices (e.g. ODS, Data Mart, Data Lakes, Data Vault);

(ref:hirist.tech)

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