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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: Java Backend 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 Spark SQL, 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.
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). Knowledge of data warehousing concepts and familiarity with relational databases. Experience working with structured and semi-structured data (CSV, Parquet, JSON, etc.).
• Strong problem-solving and debugging skills, particularly around pipeline performance and data quality.
Regards, Rahul Shrivastava
Job ID: 136678707
Skills:
Data Warehousing, Data Governance, Data Modeling, Python, Sql, ELT, Etl, data quality best practices
Skills:
Kinesis, Pyspark, AWS Glue, Kafka, Python, Sql
Skills:
Apache Spark, Python, Apache Iceberg
Skills:
snowflake , S3, Csv, Pyspark, Pl Sql, Sparksql, Json, Sql, Apache Airflow, Lambda, Aws Cloud, Abinitio ETL, Parquet, DataFrames, Iceberg, RDD, Data ingestion, Lake Formation, dbt, Glue, Snowflake Tasks, Athena, AWS Data Analytics Technology Stack
Skills:
Hadoop, Emr, Data Modeling, Informatica, Bodi, SSIS, Sql, ELT, Hive, Odi, Datastage, Spark, Python, Etl, Warehousing, KornShell
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