Description & Requirements
External Job Description - English
Your Job
We are seeking a Senior Data Engineer to join Koch Capabilities
India. This role will focus on delivering high-quality data
solutions, enabling business insights, and improving operational
efficiency through scalable data pipelines and reporting systems.
Our Team
You will be part of a collaborative data and analytics team that
partners with global stakeholders across manufacturing and finance
domains. The team is focused on building reliable data solutions,
driving continuous improvement, and creating long-term value through
data-driven decision-making.
What You Will Do
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Design, develop, and maintain data pipelines, ETL processes, and
reporting solutions using SQL Server, SSIS, and SSRS
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Write, optimize, and troubleshoot complex SQL queries to ensure
data accuracy and performance
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Support debugging, performance tuning, and optimization of data
workflows
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Develop and maintain data warehouse solutions, ensuring
scalability and reliability
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Create and maintain design artifacts such as source-to-target
mappings, data flow diagrams, and RCA documents
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Collaborate with cross-functional teams in Agile environments to
deliver data solutions aligned with business needs
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Apply understanding of BI concepts (OLTP vs OLAP) to design
effective data models and reporting structures
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Contribute to continuous improvement initiatives, including
automation and efficiency gains
Who You Are (Basic Qualifications)
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Bachelor’s degree in Computer Science or related field OR
equivalent professional experience
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Minimum of 5 years of hands-on experience in data engineering, BI
development, or related roles
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Experience working with SQL Server, SSIS, SSRS, and Visual Studio
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Experience writing and optimizing complex SQL queries
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Experience debugging and performance tuning SQL-based solutions
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Experience working with data warehousing concepts and solutions
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Experience working in an Agile environment
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Experience supporting manufacturing or finance domain data
solutions
What Will Put You Ahead
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Experience with Python for data processing and automation
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Experience working with cloud platforms such as AWS (S3, Lambda,
Glue, EC2, IAM) or Databricks (Spark, Delta Lake, notebooks)
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Experience building and deploying scalable data solutions in cloud
environments
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Exposure to AI/ML initiatives and experimentation
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Demonstrated experience delivering measurable business impact
through automation or AI-driven solutions
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Strong problem-solving mindset and ability to work independently