Relanto·5 days ago
5 days ago
Senior Data Engineer - Big Data
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What you'll do
- Design, develop and maintain scalable and efficient data pipelines
- Analyze and Develop data quality and validation procedures.
- Work with stakeholders to understand the data requirements and provide solutions.
- Troubleshoot and resolve data issues in a timely manner
- Collaborate with cross-functional teams to ingest data from various sources.
- Continuously evaluate and improve data architecture and processes.
- Own, monitor, and improve solutions to ensure SLAs are met
- Develop and maintain documentation for Data infrastructure and processes.
- Executes projects using Agile Scrum methodologies. Team player.
What they're looking for
- Bachelor's Degree in Computer Science, Data Analytics, Information Systems, etc.
- Experience developing data pipelines in one of the following languages: Python or Java
- 5+ years dimensional and relational data modeling experience
- Excellent SQL and database management skills
Nice to have
- 5+ years in data warehouse engineering (OLAP) Snowflake, BigQuery, Teradata, Redshift
- 5+ years with transactional databases (OLTP) Oracle, SQL Server, MySQL
- 5+ years with big data, Hadoop, Data Lake, Spark in a cloud environment(AWS)
- 5+ years with commercial ETL tools – dbt, Matillion, and SSIS/ADF
- 5+ years delivering ETL solutions from source systems, databases, APIs, flat-files, JSON
- Experience developing Entity Relationship Diagrams with Erwin, SQLDBM, or equivalent
- Experience working with job scheduling and monitoring systems (Airflow, Datadog, AWS SNS)
- Experience with Claude Code, Cortex Coco, VSCode copilot, AI enabled SDLC development models.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
Responsibilities:
- Design, develop and maintain scalable and efficient data pipelines
- Analyze and Develop data quality and validation procedures.
- Work with stakeholders to understand the data requirements and provide solutions.
- Troubleshoot and resolve data issues in a timely manner
- Collaborate with cross-functional teams to ingest data from various sources.
- Continuously evaluate and improve data architecture and processes.
- Own, monitor, and improve solutions to ensure SLAs are met
- Develop and maintain documentation for Data infrastructure and processes.
- Executes projects using Agile Scrum methodologies. Team player.
What you will bring:
Basic Qualifications
- Bachelor's Degree in Computer Science, Data Analytics, Information Systems, etc.
- Experience developing data pipelines in one of the following languages: Python or Java
- 5+ years dimensional and relational data modeling experience
- Excellent SQL and database management skills
Preferred Qualifications
- 5+ years in data warehouse engineering (OLAP) Snowflake, BigQuery, Teradata, Redshift
- 5+ years with transactional databases (OLTP) Oracle, SQL Server, MySQL
- 5+ years with big data, Hadoop, Data Lake, Spark in a cloud environment(AWS)
- 5+ years with commercial ETL tools – dbt, Matillion, and SSIS/ADF
- 5+ years delivering ETL solutions from source systems, databases, APIs, flat-files, JSON
- Experience developing Entity Relationship Diagrams with Erwin, SQLDBM, or equivalent
- Experience working with job scheduling and monitoring systems (Airflow, Datadog, AWS SNS)
- Experience with Claude Code, Cortex Coco, VSCode copilot, AI enabled SDLC development models.
- Experience building BI Dashboards with tools like Tableau
- Experience in any of the financial, Marketing, Sales, accounts payable, accounts receivable, invoicing etc.. Domains are a plus.
- Experience managing work assignments using tools like Jira and Confluence
- Experience with Scrum/Agile methodologies is a plus.
- Ability to work independently and as part of a team
- Excellent analytical and problem solving skills
Company
Relanto
Bengaluru, India
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