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Job Summary: We are seeking a skilled Big Data Tester & Developer to design, develop, and validate data pipelines and applications on large-scale data platforms. You will work on data ingestion, transformation, and testing workflows using tools from the Hadoop ecosystem and modern data engineering stacks. Experience - 6-12 years Key Responsibilities: Develop and test Big Data pipelines using Spark, Hive, Hadoop, and Kafka Write and optimize PySpark/Scala code for data processing Design test cases for data validation, quality, and integrity Automate testing using Python/Java and tools like Apache Nifi, Airflow, or DBT Collaborate with data engineers, analysts, and QA teams ⸻ Key Skills: Strong hands-on experience in Big Data tools: Spark, Hive, HDFS, Kafka Proficient in PySpark, Scala, or Java Experience in data testing, ETL validation, and data quality checks Familiarity with SQL, NoSQL, and data lakes Knowledge of CI/CD, Git, and automation frameworks We are looking for a skilled PostgreSQL Developer/DBA to design, implement, optimize, and maintain our PostgreSQL database systems. You will work closely with developers and data teams to ensure high performance, scalability, and data integrity. Key Responsibilities: Experience - 6 to 12 years Develop complex SQL queries, stored procedures, and functions Optimize query performance and database indexing Manage backups, replication, and security Monitor and tune database performance Support schema design and data migrations Key Skills: Strong hands-on experience with PostgreSQL Proficient in SQL, PL/pgSQL scripting Experience in performance tuning, query optimization, and indexing Familiarity with logical replication, partitioning, and extensions Exposure to tools like pgAdmin, psql, or PgBouncer Show more Show less
