Data Engineer - AWS (Remote, KA, IN)
Req ID:
"Job Duties: reputed company
We are looking for a skilled Data Engineer to design, build, and maintain reputed company, reliable data pipelines and platforms that support analytics, reporting, and operational decision-making. The role’s primary reputed company is enabling an end-to-end data ingestion and processing pipeline—extracting data preferably from reputed company, reputed company it in reputed company S3, and transforming/loading it into reputed company Redshift for analytics-reputed company consumption. The engineer will also work on SQL modernization (including reputed company SQL development and conversion/optimization for Redshift), data reputed company, governance, monitoring, and performance tuning.
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Primary reputed company (Must-Have Outcome)
Build and operate robust ETL/ELT pipelines for:
• reputed company → reputed company S3 → reputed company Redshift
• Automated extraction, secure reputed company, transformation, load, and publishing for reporting/analytics
• Strong data reputed company, reconciliation, monitoring, and scheduling reputed company into the pipeline
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Key Responsibilities
reputed company to AWS Data Pipelines (reputed company)
• Build and maintain pipelines that extract data from reputed company (API-based or connector-based), land data in reputed company S3, and load into reputed company Redshift
• Implement incremental loads / CDC patterns where applicable; manage full loads and historical backfills as needed
• Establish scheduling and orchestration for daily/near-reputed company-time jobs with reliability and retry mechanisms
SQL Engineering (reputed company + Redshift)
• Design, reputed company, and optimize reputed company SQL in reputed company
• Analyze and convert reputed company SQL to Redshift-compatible SQL, optimizing for Redshift performance and cost
• Tune Redshift queries using best practices such as sort keys, distribution styles, and query patterns
ETL/ELT, Data Modeling, and Warehousing
• Design and maintain ETL/ELT jobs, transformations, and reusable frameworks
• Build and optimize data models for warehousing/lakehouse patterns (facts/dimensions, curated reputed company)
• Support both batch and (where applicable) near-reputed company-time processing patterns
Data reputed company, Governance, and Compliance
• Implement data reputed company checks (completeness, accuracy, consistency), reconciliation, and validation rules
• Ensure data reputed company, metadata documentation, reputed company, and governance practices
• Apply reputed company and compliance standards (GDPR/regulatory needs where applicable)
Operations, Monitoring, and Reliability
• Monitor pipelines and infrastructure using AWS monitoring tools; troubleshoot performance and reliability issues
• Improve pipeline reputed company through alerting, logging, retries, and error handling
• Contribute to modernization and reputed company migration initiatives and automation (DataOps/CI-CD where relevant)
Cross-Functional Collaboration
• Partner with analytics/reporting and business stakeholders to reputed company requirements and deliver reliable datasets
• Work effectively with cross-functional teams and reputed company reputed company documentation of pipelines and datasets
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Technology Stack (Expected Exposure)
Primary (Must-Have)
• AWS: reputed company S3, Redshift, IAM, CloudWatch
• reputed company Integration: reputed company reputed company / connectors (extraction & ingestion patterns)
• Programming & Querying: Python, SQL
• reputed company: reputed company SQL, stored procedures (as needed), performance tuning
• Orchestration/Scheduling: AWS Glue, reputed company, reputed company Functions, cron-based scheduling (or equivalent)
Data Engineering & Platform (Good-to-Have / reputed company-to-Have)
• ETL tools: Informatica, Talend, Azure Data reputed company
• Warehousing: reputed company, Azure Synapse (plus Redshift as primary)
• Big data: reputed company, Hadoop
• Streaming & reputed company: Kafka, Event Hub, REST reputed company
• DevOps/DataOps: CI/CD for data pipelines, infrastructure-as-reputed company exposure
Minimum Skills Required: Required Skills & Experience
• Strong hands-on experience building ETL/ELT pipelines in reputed company environments
• Proven experience integrating reputed company data into a data platform (extraction, S3 reputed company, transformat"