Data Engineer with Snowflake, AWS Glue, Kafka, API
1 week ago
Req ID:
We are currently seeking a Data Engineer with Snowflake, AWS Glue, Kafka, API to join our team in Bangalore, Karnātaka (IN-KA), India (IN).
6+ years of experience in Data Engineering or related role. Hands-on experience with Snowflake (data modelling, performance tuning, query optimization, Snowpipe, Time Travel, Streams & Tasks). Strong expertise in AWS Glue for ETL job development, orchestration, and optimization. Proficiency with AWS services such as S3, Lambda, Redshift, Athena, Step Functions, Kinesis , and CloudWatch . Strong programming skills in Python and/or PySpark . Knowledge of SQL and experience with performance tuning for large datasets. Experience with data warehouse and data lake architectures. Familiarity with CI/CD pipelines and infrastructure-as-code tools (Terraform, CloudFormation).Preferred Qualifications:
AWS Certified Solutions Architect / Data Analytics Specialty certification. Experience integrating Snowflake with third-party tools like Tableau or Power BI Experience with streaming data ingestion using Kinesis or Kafka. Familiarity with containerization (Docker, ECS, EKS).About NTT DATA
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at
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