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Über
3+ years relevant experience in designing and deploying big data applications and ETL jobs using PySpark APIs/SparkSQL. Strong experience with AWS services across multiple domains: o Collection: Kinesis, DMS o Storage: S3, RDS, Redshift, DynamoDB o Analytics & ML: Glue, EMR, Athena, SageMaker, Bedrock o Compute: EC2, Lambda, ECS o Security: IAM, KMS, SSE
Proficiency in SQL and relational databases (Oracle, SQL Server, Teradata); expert-level query tuning. Hands-on experience with Python development, REST APIs (AWS API Gateway, Node.js), and CI/CD pipelines using GitHub. Familiarity with file formats (JSON, Parquet, Avro) and Linux/Unix shell scripting. Exposure to Docker/Kubernetes, Delta Lake APIs, and data quality frameworks. AWS certification (Developer Associate or higher) preferred. Roles & Responsibilities
Architect and maintain data pipelines using AWS native services (Glue, Kinesis, Lambda, S3, Redshift). Design and optimize data models on AWS Cloud leveraging Redshift, RDS, and S3. Implement ETL/ELT workflows and PySpark jobs for data ingestion, transformation, and storage. Operationalize self-service data preparation tools (e.g., Trifacta) on AWS. Conduct performance engineering for large-scale data lakes in production environments. Participate in design workshops, provide trade-offs and recommendations for solution architecture. Mentor engineers on coding best practices, problem-solving, and AWS service utilization. Define code review processes, deployment strategies, and ensure compliance with security standards. Collaborate with System Architect and Scrum Master to manage dependencies, risks, and blockers. Support test strategy, defect resolution, and root cause analysis during warranty periods. Maintain documentation in Confluence and ensure team alignment on standards and practices. Generic Managerial Skills, If any
Leadership & Collaboration
Proven ability to mobilize and motivate teams, set technical direction, and resolve conflicts. Experience working in Agile environments, managing dependencies, and delivering under ambiguity. Strong communication skills for stakeholder engagement and cross-functional collaboration. Preferred Skills
Experience with BI tools (QuickSight, Tableau). Knowledge of data governance, security, and compliance standards. Familiarity with performance testing and observability tools for data pipelines TCS Employee Benefits Summary:
Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $100,000 - $120,000 a year
Sprachkenntnisse
- English
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