Lead Data Engineer, AWS
EXL
full-time
Posted on:
Location Type: Hybrid
Location: Gurugram • India
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Job Level
About the role
- Lead and oversee project delivery, ensuring timely completion with high quality.
- Collaborate with clients and offshore leads to gather requirements and define high-level designs.
- Direct development and unit testing activities while maintaining strong alignment with project goals.
- Communicate effectively with stakeholders, providing regular updates on task and project statuses.
- Identify, track, and address project risks or issues promptly.
- Work closely with management to ensure seamless execution of tasks.
- Provide technical guidance to the team, outlining design, implementation, and delivery strategies.
Requirements
- 9+ years of relevant experience in Data Engineering and project delivery.
- Strong expertise in Big Data concepts and cloud implementation projects.
- Proficient in Snowflake, SQL, and AWS services (Glue, EMR, S3, Aurora, RDS, AWS architecture).
- Excellent hands-on experience with Python, PySpark, and AWS cloud microservices.
- Capability to perform coding, debugging, performance tuning, and deploying applications to production environments.
- Strong problem-solving abilities, analytical skills, and aptitude for ownership.
- Skilled in Agile Methodology with experience in iterative project deliveries.
- Quick learner with the ability to lead team members in adopting new technologies.
- Exceptional communication and stakeholder management skills.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Data EngineeringBig DataSnowflakeSQLAWSPythonPySparkcodingdebuggingperformance tuning
Soft Skills
problem-solvinganalytical skillsownershipcommunicationstakeholder managementleadershipcollaborationadaptabilityproject managementrisk management