
▷ (Immediate Start) Senior Lead Software Engineer ---- Data engineering and ETL development
2 days ago
About Client:
Our Client is a global IT services company headquartered in Southborough, Massachusetts, USA. Founded in 1996, with a revenue of $1.8B, with 35,000+ associates worldwide, specializes in digital engineering, and IT services company helping clients modernize their technology infrastructure, adopt cloud and AI solutions, and accelerate innovation. It partners with major firms in banking, healthcare, telecom, and media.
Our Client is known for combining deep industry expertise with agile development practices, enabling scalable and cost-effective digital transformation. The company operates in over 50 locations across more than 25 countries, has delivery centers in Asia, Europe, and North America and is backed by Baring Private Equity Asia.
- Job Title : Data engineering and ETL development
- Key Skills : ETL, SSIS, SQL, Python, CKGL, and SAP. Assist in ETL pipeline creation,SSIS packages and Python scripts,SQL,
- Job Locations : Pan India
- Experience :8-11 Years
- Education Qualification : Any Graduation.
- Work Mode : Hybrid.
- Employment Type : Contract.
- Notice Period : Immediate
Job Description:
Job Title: Senior Lead Software Engineer -- Data engineering and ETL development
About the Job: Experience in ETL, SSIS, SQL, Python with PySpark
- Support the development and execution of reconciliation logic across EDW, FDR, CKGL, and SAP. Assist in ETL pipeline creation, defect tracking, and framework maintenance under the guidance of the onshore lead.
- Key Responsibilities
- Develop and maintain SSIS packages and Python scripts for reconciliation tasks.
- Perform data comparisons and highlight mismatches across systems.
- Maintain logs of exceptions, defects, and throughput metrics.
- Collaborate with onshore lead and relevant teams to resolve issues.
- Contribute to dashboard updates and framework enhancements.
- Required Skills:
- 6 to7 years of experience in data engineering and ETL development.
- Proficiency in SSIS, SQL, and Python.
- Strong analytical and documentation skills.
- Ability to work independently and in a distributed team environment.
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