Build and maintain ETL pipelines for a large-scale analytics platform, ensure data quality, resolve data issues, handle support tickets, and assist senior engineers with enhancements. The role requires SQL and Python skills, basic cloud data platform knowledge, and familiarity with AWS Glue, Lambda, Redshift, and Apache Airflow. Experience in the Oil & Gas domain is preferred.
JOB DESCRIPTION: Data Engineer
About the Role:
Join our AMS team supporting a large-scale analytics platform for a major Oil & Gas enterprise. You will build and maintain data pipelines, ensure data quality, and support the data engineering track.
Key Technologies:
- AWS Glue, Lambda, Redshift
- SQL, Python
- Apache Airflow (basics)
What You'll Do:
- Maintain existing ETL pipelines
- Ensure data quality & resolve data issues
- Handle assigned support tickets
- Support senior engineers on enhancements
Requirements:
- 2+ years in Data Engineering or related
- Good SQL and Python skills
- Basic understanding of cloud data platforms
- Hybrid working model (Mumbai preferred)
Nice to Have:
- Experience in Oil & Gas domain
Similar Jobs
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Develops, tests, maintains, and troubleshoots enterprise data pipelines and analytical data solutions using Alteryx, Microsoft SQL Server, and Microsoft Fabric. The role focuses on data integration, transformation, quality, security, documentation, monitoring, operational resiliency, and cloud-native engineering patterns. It also involves collaborating with technical and business stakeholders to translate requirements into reliable, maintainable data products.
Top Skills:
AlteryxData FactoryData PipelinesLakehouseMicrosoft FabricMicrosoft Sql ServerOnelakePythonSQL
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Develop secure, scalable data pipelines and data engineering solutions using Spark, Scala, Python, Java, Hadoop, and object storage. Build and maintain data warehouse projects, automate data ingestion and movement workflows, enforce data standards, and support production incidents. The role requires strong SQL and database expertise, analytical debugging skills, collaboration across distributed teams, and continuous process improvement.
Top Skills:
Apache NifiSparkHadoopJavaNetezzaOraclePythonScalaSQL
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Design and build scalable cloud-based data solutions, develop ETL pipelines for warehouses and data lakes, implement data quality and validation processes, optimize data storage and processing, and collaborate with data teams, product owners, modelers, analysts, and stakeholders. The role requires expertise in Python, PySpark, SQL, Databricks, AWS services, data modeling, medallion architecture, and pipeline scheduling.
Top Skills:
AecorsoftAlteryxAmazon Ec2Amazon RedshiftApache AirflowAws GlueAws LambdaAws S3DatabricksDatasphereExcelLakeflow JobsPysparkPythonRSQLTableau
What you need to know about the Mumbai Tech Scene
From haggling for the best price at Chor Bazaar to the bustle of Crawford Market, the energy of Mumbai's traditional markets is a key part of the city's charm. And while these markets will always have their place, the city also boasts a thriving e-commerce scene, ranking among the largest in the region. Driven by online sales in everything from snacks to licensed sports merchandise to children's apparel, the local industry is worth billions, with companies actively recruiting to meet the demands of continued growth.
