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Flexton Inc., established in 2007, headquarter is in San Jose, CA with development centers in India at multiple locations. We are a leading professional services company offering a unique product mix that extends into Technology, Consulting, Digital and Operations.
Job Title: Data Engineer
Below is the complete job description
Data Engineer
Bangalore, India
Hybrid
We are seeking a Data Engineer with hands-on experience in Spark and SparkSQL, strong SQL expertise, and solid batch processing experience. The role involves building and optimizing data pipelines to support analytics and business needs, ensuring data reliability and performance, and collaborating effectively with cross-functional teams.
Must Have skills :
Spark, Spark SQL, working experience with spark. Very Strong SQL, Batch Exp is a must have. Good Project Experience.
Data Engineer
Job Description:
Hands-on experience with Apache Spark (especially Spark SQL and batch processing).
Strong SQL expertise — ability to write efficient, optimized, and complex SQL queries for large datasets. Solid understanding of data pipeline fundamentals, including ingestion, transformation, and loading (ETL/ELT) processes.
Must have experience with batch data processing (scheduling, dependencies, failure recovery, performance tuning). Strong problem-solving and debugging skills, particularly around pipeline performance and data quality.
Regards, Rahul Shrivastava
Job ID: 145290735
Skills:
DataStage, Informatica, Data Integration Tools, ETL processes, Ab Initio software, Business Intelligence
Skills:
Power Bi, Pyspark, Databricks, Azure, Sql, Azure DevOps, Delta Lake, CI CD
Skills:
Hadoop, Spark, data pipeline, Azure, Python, Sql, Google Cloud, AWS, ETL processes, cloud data platforms
Skills:
snowflake , Pyspark, AWS Glue, ELT, Data Lake, Databricks, Etl, Airflow, Modern Data Platform architectures, AWS Cloud technologies, Lakehouse, Git-based source control
Skills:
snowflake , Unit Testing, Pyspark, Schema Design, ELT, Azure Data Lake, Data Profiling, Python, BigQuery, Data Modelling, Apache Spark, Sql, Data Quality, Git, Databricks, Aws S3, Etl, Airflow, Great Expectations, AWS Glue DataBrew, Data Validation, dbt, Dagster, Google Cloud Storage