Data Engineer
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Job Description
Job Title: Senior Data Engineer
Location: Chennai WFO
Experience: 8–10+ Years
Type: Full-Time
Job Summary:
We are looking for a Senior Data Engineer with 8–10 years of experience in data and cloud technologies. The ideal candidate has deep expertise in Big Data ecosystems, data pipeline development, and cloud-based data solutions, with at least 5 years focused on Data Engineering and Analytics.
Key Skills:
- Big Data: Spark, Hive, HDFS, NiFi, Kafka, HBase, Phoenix
- Databases: Snowflake, Oracle, PostgreSQL, MySQL
- Languages: Python, Scala, SQL
- Cloud & DevOps: AWS, Docker
- Platforms: Hortonworks, Cloudera
- Tools: IntelliJ, PyCharm, SQL Developer
- OS & Scripting: Linux, AIX, Windows; Shell & Batch scripting
Responsibilities:
- Build and maintain scalable data pipelines
- Design cloud-native data solutions (AWS preferred)
- Support real-time and batch processing
- Collaborate with cross-functional teams
- Ensure data quality, security, and performance
More Info
Key Skills
About Company
Skills:
Pyspark, Sql
Skills:
Power Bi, PowerShell, SSIS, Azure Synapse, Vbscript, Ssas, Vba, Azure Data Lake, DevOps practices, Windows Server 2019 2022, Azure Data Factory ADF, CI CD pipelines, ETL ELT development, SQL Server 2019 2022
Skills:
snowflake , Data Lineage, Metadata Management, Data Modelling, Automated Testing, Informatica, ELT, Data Quality, Git, Databricks, Data Warehousing, Talend, Etl, Airflow, Data Lakes, Luigi, Relational Databases, Deployment Practices, dependency management, Azkaban, Data Lakehouse, NoSQL Databases, Distributed Data Processing
Skills:
snowflake , Query Optimization, Data Modeling, Snaplogic, Data Warehousing, Python, Sql, Etl, ELT, Performance Tuning, Control-M
Skills:
Pyspark, Azure Data Factory, Azure Functions, Azure Databricks, Sql, Synapse, ADLS, Databricks notebooks using Python