Aws Data Engineer

ti Steps

8 - 13 years

18 - 30 Lacs

pune

Posted:1 day ago| Platform:

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Skills Required

kinesis big data aws python sql pyspark glue emr athena redshift lambda

Work Mode

Work from Office

Job Type

Full Time

Job Description

Role

Design and implement scalable, secure, and high-performance data pipelines on AWS Cloud. Collaborate with data scientists, analysts, and application teams to deliver advanced analytics and ML-ready data solutions.
Ensure data quality, governance, and security across all ingestion, transformation, and storage layers.
Optimize ETL workflows, SQL queries, and big data processing for efficiency and reliability.
Drive automation and CI/CD practices for seamless deployment and maintenance of data solutions. Monitor and troubleshoot data pipeline performance, ensuring accuracy and resilience.

Your Profile

814 years of experience in AWS-based data engineering and big data ecosystems.
Hands-on expertise in AWS services: Kinesis, EMR, Glue, RDS, Athena, RedShift, Lambda, and S3. Strong programming skills in Python and PySpark, with advanced SQL optimization capabilities.
Proven experience with big data tools (Hadoop, Spark, Kafka) and data lake/data warehouse architectures.
Familiarity with relational (SQL Server, MySQL, PostgreSQL, Oracle) and NoSQL databases (Cassandra, MongoDB).

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