Job Description:
Senior Data Engineer (Azure, Spark, Hadoop, SQL, Python)
Job Location: Hyderabad / Bangalore / Chennai / Kolkata / Noida/ Gurgaon / Pune / Indore / Mumbai
Job Description:
Minimum 10 years of experience in Data Engineering.
Working proficiency in using Python, PySpark, SQL, Hadoop platforms to build Big Data products & platforms.
Experience with performance Tuning of Database Schemas, Databases, SQL, ETL Jobs, and related scripts
At least 6 years of relevant hands-on experience as a Data Engineer in an individual contributor capacity.
Experience in working with Cloud APIs (e.g., Azure, AWS)
Experience in working with SQL database like Postgres, Oracle
Preferably with hands-on experience with Hadoop big data tools (Hive, Impala, Spark)
Experience with data pipeline and workflow management tools: NIFI, Airflow.
Good troubleshooting and debugging skills.
Proficient in standard software development, such as version control, testing, and deployment using Jenkins & DAB (Databricks Asset Bundle).
At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We re committed to fostering an inclusive environment where everyone can thrive.
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Keyskills: Performance tuning Version control spark Social media Hadoop Debugging Oracle Troubleshooting big data Python
DXC Technology (NYSE: DXC) helps global companies run their mission-critical systems and operations while modernizing IT, optimizing data architectures, and ensuring security and scalability across public, private and hybrid clouds. The worlds largest companies and public sector organizations trust ...