Solution Consultant

2 weeks ago


Chennai, Tamil Nadu, India JMan Group Full time

Position :

Technical specification :

  • Minimum 5+ years of experience in data platform build or a related field.
  • Strong understanding of fullstack development principles and technologies (e.g., frontend frameworks, backend languages, APIs).
  • Experience with data visualization tools like Tableau or Power BI.
  • Familiarity with cloudbased data warehousing solutions (e.g., Snowflake, Redshift).
  • Proficient in SQL and Apache Spark / Python programming languages.
  • Experience with cloud platforms like AWS, Azure, or GCP.
  • Experience in data pipelines and ETL/ELT tools, including AWS Glue/Azure Data Factory/ Synapse/Matillion/dbt.
  • Experience in implementing or working with data governance frameworks and practices to ensure data integrity and regulatory compliance.
  • Knowledge of data quality tools and practices.
  • Experience with containerization technologies (e.g., Docker, Kubernetes) (preferred).
  • Experience with CI/CD pipelines and DevOps methodologies.
  • Excellent communication, collaboration, and problemsolving skills.
  • Ability to work independently, adapt to changing priorities, and learn new technologies quickly.
Responsibilities :

  • Design and implement data pipelines using ETL/ELT tools and techniques.
  • Configure and manage data storage solutions, including relational databases, data warehouses, and data lakes. Develop and implement data quality checks and monitoring processes.
  • Automate data platform deployments and operations using scripting and DevOps tools (e.g., Git, CI/CD pipeline).
  • Ensuring compliance with data governance and security standards throughout the data platform development process.
  • Troubleshoot and resolve data platform issues promptly and effectively.
  • Collaborate with the Data Architect to understand data platform requirements and design specifications.
  • Assist with data modelling and optimization tasks.
  • Work with business stakeholders to translate their needs into technical solutions.
  • Document the data platform architecture, processes, and best practices.
  • Stay up to date with the latest trends and technologies in full stack development, data engineering, and DevOps.
  • Proactively suggest improvements and innovations for the data platform.
Required Skillset :

1) ETL or

ELT:
AWS Glue/ Azure Data Factory/ Synapse/ Matillion/dbt.


2) Frontend frameworks, Backend languages, APIs

3)

Data Warehousing:
Azure SQL Server/Redshift/Big Query/Databricks/Snowflake (Anyone - Mandatory).


4)

Data Visualization:
Power BI/Tableau/Looker


5) SQL and Apache Spark / Python programming languages

6) Containerization technologies (e.g., Docker, Kubernetes)

7)

Cloud Experience:
AWS/Azure/GCP.


8) Scripting and DevOps tools (e.g., Git, CI/CD pipeline
)
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