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Medium competition: common mid-level Data Engineer title with niche IICS specialization reducing applicant pool.
Medium because SQL, Redshift, and AWS skills are transferable but IICS expertise narrows applicability.
High due to explicit 4-6 years requirement and mandatory IICS, Redshift, AWS, and leadership experience.
Architect and deliver complex end-to-end data pipelines using IICS across diverse source systems including S3, SFTP, MFT, SQL Server, and Redshift.
Design scalable and performance-optimized Amazon Redshift schemas covering staging, transformation, and target layers while managing cost efficiency.
Lead technical design reviews, testing phases (SIT and UAT), and provide mentoring and technical oversight to junior and mid-level developers.
4-6 years total work experience with at least 2 years hands-on experience in IICS data engineering.
Advanced expertise in SQL and Amazon Redshift including performance tuning and warehouse management.
Experience with multi-environment AWS deployments (development, validation, production).
Location requirement: Indore, MP, India. Notice period: Not explicitly mentioned in the JD.
Experienced in designing and delivering production-grade data pipelines incorporating audit logging, error handling, and alerting mechanisms.
Proven ability to lead technical design discussions and mentor development teams, indicating leadership at a senior developer level.
Strong communicator capable of engaging both technical and non-technical stakeholders effectively.