Data Engineer

Job Description

Must Have Technical/Functional Skills

Python, Glue ETL, Attunity, Pyspark, AWS (S3, IAM, Lambda, Cloud Formation)

Roles & Responsibilities

• Design, develop, and maintain scalable ETL/data integration pipelines using AWS Glue, PySpark, and Python.
• Develop and optimize data transformation workflows to process large datasets from multiple source systems.
• Utilize Attunity for real-time and batch data replication between on-premises and cloud environments.
• Build and manage data lakes and storage solutions using Amazon S3, ensuring data quality, security, and governance.
• Implement serverless data processing solutions using AWS Lambda and integrate with other AWS services.
• Configure and manage IAM roles, policies, and permissions to ensure secure access to AWS resources.
• Automate infrastructure provisioning and deployment using AWS CloudFormation.
• Monitor, troubleshoot, and optimize ETL jobs, data pipelines, and cloud resources for performance and reliability.
• Collaborate with business, analytics, and application teams to gather requirements and deliver data solutions.
• Support CI/CD processes, perform code reviews, and maintain technical documentation following best practices.

Generic Managerial Skills, If any

• Planning & Execution – Effectively prioritize tasks, estimate effort, and ensure timely delivery of project milestones while balancing multiple commitments.
• Stakeholder Management – Build strong relationships with business teams, clients, and leadership through proactive communication and expectation management.
• Communication – Convey technical and non-technical information clearly through meetings, presentations, documentation, and status updates.
• Collaboration – Foster teamwork across cross-functional groups, encourage knowledge sharing, and contribute to a positive team environment.
• Decision Making – Analyze options, assess risks, and make informed decisions that align with both technical and business objectives.
• Leadership & Ownership – Take accountability for deliverables, drive initiatives proactively, and lead by example to achieve team goals.
• Risk & Issue Management – Identify potential risks early, address blockers proactively, and implement mitigation strategies to ensure smooth project execution.
• Customer & Business Focus – Understand customer needs and business priorities, ensuring technical solutions deliver measurable value.
• Mentoring & Coaching – Support team growth through guidance, code reviews, knowledge sharing, and skill development initiatives.
• Project & Change Management – Adapt effectively to evolving requirements, manage priorities during change, and ensure successful delivery outcomes.

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 As sistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Salary Range: $120,000-$130,000 a year

Qualifications: BACHELOR OF COMPUTER SCIENCE