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Thiruvananthapuram · On-site · 3-5 Yrs · Sep 28
62 open roles1 posted in 7d62 in 30d
Hiring: Engineering
Job description
Overview
Seeking skilled Data Operations & Engineering Specialist to design, develop, and support scalable data platforms, data pipelines, database solutions, and analytics ecosystems across AWS and Azure environments.
Responsibilities
- Design, develop, and maintain scalable data pipelines and integration frameworks.
- Manage and optimize cloud-based data platforms, databases, data warehouses, and analytical datasets.
- Lead and support data migration, modernization, and transformation initiatives.
- Collaborate with business, analytics, and reporting teams to deliver reliable and trusted data assets.
- Ensure data quality, security, performance, availability, and operational stability.
- Support BI, reporting, and self-service analytics initiatives.
- Monitor, troubleshoot, and continuously improve data platform operations and processes.
Qualifications
- Strong hands-on experience in SQL, Python, and/or PySpark.
- Experience designing and developing ETL/ELT pipelines, data flows, and integration solutions.
- Hands-on experience with AWS (S3, Glue, Redshift, Lambda, Athena) and/or Azure (ADF, Databricks, ADLS, Synapse).
- Strong knowledge of Data Warehousing, Data Lakes, Lakehouse architectures, and dimensional data modeling (Star/Snowflake).
- Experience building and supporting enterprise data platforms for reporting, analytics, and business intelligence.
- Hands-on experience in data migration and modernization projects, including on-premises to cloud migrations and legacy platform transformations.
- Experience with Spark/Databricks and large-scale data processing.
- Knowledge of batch and real-time data processing frameworks.
- Experience with pipeline orchestration tools such as Airflow, ADF, Step Functions, or equivalent.
- Strong understanding of data quality, validation, performance tuning, and operational support.
- Experience supporting BI solutions using Power BI, Tableau, QuickSight, or similar platforms.
- Familiarity with source control, CI/CD, and Agile delivery methodologies.
Nice to have
- Experience with Snowflake, Microsoft Fabric, or similar modern data platforms.
- Exposure to streaming technologies such as Kafka, Event Hub, or Kinesis.
- Knowledge of CDC, replication, and data synchronization frameworks.
- Experience with Infrastructure as Code using Terraform, CloudFormation, or Bicep.
- Understanding of Data Governance, Metadata Management, Data Lineage, and Security practices.
- Cloud certifications such as AWS Data Engineer, DP-203, DP-600, or equivalent.
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Job application FAQ
Last updated 14 October 2026
- How do I apply for Tech S and T-Infra-Data Operations and Engineering Specialist - Senior at EY?
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- Is Tech S and T-Infra-Data Operations and Engineering Specialist - Senior remote or on-site in Thiruvananthapuram, Keralam?
- This listing is marked on_site with location Thiruvananthapuram, Keralam. Confirm details on the job description before applying.
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