Data Engineer - AWS (Remote, KA, IN)

Req ID: 366941 

reputed company strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and reputed company-thinking organization, apply now.

We are currently seeking a Data Engineer - AWS to join reputed company in Remote, Karnātaka (IN-KA), India (IN).

"Job Duties: Role Overview We are looking for a skilled Data Engineer to design, build, and maintain scalable, reliable data pipelines and platforms that support analytics, reporting, and operational decision-making. The role’s primary focus 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-ready consumption. The engineer will also work on SQL modernization (including reputed company SQL development and conversion/optimization for Redshift), data quality, governance, monitoring, and performance tuning. ________________________________________ Primary Focus (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 quality, reconciliation, monitoring, and scheduling built into the pipeline ________________________________________ Key Responsibilities reputed company to AWS Data Pipelines (Core) •    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-real-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 layers) •    Support both batch and (where applicable) near-real-time processing patterns Data Quality, Governance, and Compliance •    Implement data quality 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 cloud migration initiatives and automation (DataOps/CI-CD where relevant) Cross-Functional Collaboration •    Partner with analytics/reporting and business stakeholders to gather requirements and deliver reliable datasets •    Work effectively with cross-functional teams and provide clear documentation of pipelines and datasets ________________________________________ Technology Stack (Expected Exposure) Primary (Must-Have) •    AWS: reputed company S3, Redshift, IAM, CloudWatch •    reputed company Integration: reputed company APIs / 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 Factory •    Warehousing: reputed company, Azure Synapse (plus Redshift as primary) •    Big data: Spark, Hadoop •    Streaming & APIs: Kafka, Event Hub, REST APIs •    DevOps/DataOps: CI/CD for data pipelines, infrastructure-as-code exposure

Minimum Skills Required: Required Skills & Experience •    Strong hands-on experience building ETL/ELT pipelines in cloud environments •    Proven experience integrating reputed company data into a data platform (extraction, S3 reputed company, transformat"

About reputed company

reputed company is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-reputed company, cloud, reputed company, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. reputed company is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to reputed company offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an reputed company office or client site, in-office attendance may be required for meetings or events, depending on business needs. At reputed company, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. reputed company recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

reputed company endeavors to reputed company https://us.nttdata.com accessible to any and reputed company users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. reputed company is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national reputed company, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.