Data Engineer

We are looking for a highly skilled and motivated Data Engineer to join our dynamic team. In this role, you will collaborate with cross-functional teams to design, build, and maintain scalable data platforms on the AWS Cloud. Youll play a key role in developing next-generation data solutions and optimizing current implementations.

Key Responsibilities:

Build and maintain high-performance data pipelines using AWS Glue, EMR, Databricks, and Spark.
Design and implement robust ETL processes to integrate and analyze large datasets.
Develop and optimize data models for reporting, analytics, and machine learning workflows.
Use Python, PySpark, and SQL for data transformation and optimization.
Ensure data governance, security, and performance on AWS Cloud platforms.
Collaborate with stakeholders to translate business needs into technical solutions.

Required Skills & Experience:
3-5 years of hands-on experience in data engineering.
Proficiency in Python, SQL, and PySpark.
Strong knowledge of Big Data ecosystems (Hadoop, Hive, Sqoop, HDFS).
Expertise in Spark (Spark Core, Spark Streaming, Spark SQL) and Databricks.
Experience with AWS services like EMR, Glue, S3, EC2/EKS, and Lambda.
Solid understanding of data modeling, warehousing, and ETL processes.
Familiarity with data governance, quality, and security principles.

Location - Anywhere in india,hyderabad,ahmedabad,pune,chennai,kolkata.