Data Engineer (Pyspark)

You are applying for the position of Data Engineer - Databricks & Pyspark at Axtria, a global provider of cloud software and data analytics to the Life Sciences industry. Role Overview: As a Data Engineer at Axtria, your primary responsibility will be to design, build, and optimize large-scale data pipelines using PySpark. You will be working on Data Warehousing, ETL, Data Integration, and DataLake projects, with a focus on independently designing, developing, and delivering complex ETL solutions using Databricks. Key Responsibilities: - Solid experience in Data Warehousing, ETL, Data Integration, and DataLake projects. - Ability to independently design, develop, and deliver complex ETL solutions using Databricks. - Expertise in understanding the DWH & Data Management ecosystem, translating business requirements into technical specifications and low-level ETL design maps. - Hands-on experience with at least one DBMS / appliance among (Redshift, Snowflake, SQL Server, Oracle, Teradata, Azure SQL). - Programming experience with PySpark. - Good to have pharma / LS domain experience. Qualifications Required: - BE/B.Tech/MCA/BCA/Computer Science degree with 60%+ score. If you are interested in this opportunity, please share your updated profile with the following details: - Total experience - Experience in LS/Pharma domain - Current CTC - Expected CTC - Notice Period (LWD) - Location preference: NCR/Pune/Hyd - Availability for the interview on 6-Jun-26 (Saturday) Please note that only shortlisted profiles will be invited for the interview on 6-Jun. You are applying for the position of Data Engineer - Databricks & Pyspark at Axtria, a global provider of cloud software and data analytics to the Life Sciences industry. Role Overview: As a Data Engineer at Axtria, your primary responsibility will be to design, build, and optimize large-scale data pipelines using PySpark. You will be working on Data Warehousing, ETL, Data Integration, and DataLake projects, with a focus on independently designing, developing, and delivering complex ETL solutions using Databricks. Key Responsibilities: - Solid experience in Data Warehousing, ETL, Data Integration, and DataLake projects. - Ability to independently design, develop, and deliver complex ETL solutions using Databricks. - Expertise in understanding the DWH & Data Management ecosystem, translating business requirements into technical specifications and low-level ETL design maps. - Hands-on experience with at least one DBMS / appliance among (Redshift, Snowflake, SQL Server, Oracle, Teradata, Azure SQL). - Programming experience with PySpark. - Good to have pharma / LS domain experience. Qualifications Required: - BE/B.Tech/MCA/BCA/Computer Science degree with 60%+ score. If you are interested in this opportunity, please share your updated profile with the following details: - Total experience - Experience in LS/Pharma domain - Current CTC - Expected CTC - Notice Period (LWD) - Location preference: NCR/Pune/Hyd - Availability for the interview on 6-Jun-26 (Saturday) Please note that only shortlisted profiles will be invited for the interview on 6-Jun.