Senior Data Engineer

1 week ago

Bengaluru, India Mphasis Full time

Senior Data Engineer (Talend)

Responsibilities:

• Lead end-to-end design and development of scalable data pipelines using Talend, orchestrating complex ELT workflows into Snowflake.

• Architect and optimize data warehousing solutions: warehouse sizing, clustering keys, materialized views, and Snowflake best practices.

• Build and maintain AWS infrastructure (S3 data lakes, EC2 batch clusters, RDS, No SQL).

• Define and enforce data governance, security, and compliance policies across pipelines and AWS resources.

• Mentor and guide junior engineers, conduct design/code reviews, and establish coding standards.

• Implement monitoring, alerting, and logging (Snowflake Usage & Billing) to ensure pipeline reliability and cost control.

• Collaborate with analytics and BI teams to translate business requirements into technical designs and SLAs.

• Drive continuous improvement: evaluate emerging tools (e.g., AWS Glue, dbt), recommend enhancements, and lead migration from legacy ETL systems.

Skills & Qualifications:

• 5+ years of data engineering experience, including extensive work with Talend and Snowflake in production environments.

• Deep expertise in Studio, TAC and AWS services(S3, EC2, RDS and No SQL).

• Expert SQL skills and performance tuning in Snowflake (query profiling, result caching, multi-cluster warehouses).

• Proficient in Python and Java for advanced data transformations and custom connector development.

• Experience with orchestration tools (Autosys, Airflow) and CI/CD for data pipelines.

• Strong background in data modeling, schema design, and partitioning strategies for large-scale datasets.

• Demonstrated ability to lead cross-functional projects, mentor teams, and communicate complex concepts to stakeholders.

• Knowledge of data security, GDPR/CCPA compliance, and implementing role-based access controls.

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