ApplySarthiD 365- Data Engineer
fa-etvl-saasfaprod1
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This role on the market
7,274 open data roles across 659 companies are on ApplySarthi right now, most of them in Bengaluru (415), Hyderabad (309), Mumbai (156).
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What data roles keep asking for: AWS (25%), SQL (23%), Python (22%) — counted across their open postings here.
AWS jobs · Azure jobs · BigQuery jobs · CI/CD jobs
fa-etvl-saasfaprod1 has 277 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for data roles keep coming back to AWS, SQL, Python. Practise those questions before you sit with fa-etvl-saasfaprod1.
Questions you are likely to be asked
- Why do you want to join fa-etvl-saasfaprod1?
- What is your experience with Azure? Tell me one thing you learned the hard way.
- Tell me about a time the data was messy or wrong. What did you do?
- How would you explain your model's result to someone who is not technical?
- What would you check first if a model's accuracy dropped after going live?
Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.
Practise the D 365- Data Engineer at fa-etvl-saasfaprod1 interview free →We are seeking a highly skilled Senior Data Engineer with 8–12 years of experience in designing, developing, and managing scalable data platforms and enterprise data solutions. The ideal candidate will have strong expertise in data engineering, cloud technologies, ETL/ELT development, data warehousing, and big data ecosystems. The candidate will play a key role in building modern data platforms, enabling advanced analytics, business intelligence, AI/ML initiatives, and data-driven decision-making across the organization. Qualification: Required Technical Skills Data Engineering Data Modeling (Dimensional & Relational) ETL/ELT Development Data Warehousing Concepts Data Lake & Lakehouse Architecture Data Migration & Data Integration Real-Time Data Processing Cloud Platforms (Any One or More) Microsoft Azure Azure Data Factory (ADF) Azure Synapse Analytics Azure Data Lake Storage (ADLS) Azure Databricks Microsoft Fabric AWS Glue Redshift EMR S3 Google Cloud Platform (GCP) BigQuery Dataflow Cloud Storage Big Data Technologies Apache Spark Databricks Hadoop Ecosystem Kafka Delta Lake Databases SQL Server Oracle PostgreSQL MySQL Snowflake Azure SQL Database Programming Skills Python SQL PySpark Scala (Preferred) Shell Scripting DevOps & Version Control Azure DevOps Git CI/CD Pipelines Jenkins Required Experience 8–12 years of overall IT experience. Minimum 5+ years of experience in Data Engineering. Strong hands-on expertise in SQL and Python. Experience with cloud-based data platforms (Azure preferred). Expertise in building data pipelines, ETL/ELT frameworks, and data warehouses. Experience working with large-scale structured and unstructured datasets. Knowledge of data governance, security, and compliance frameworks. Experience in Agile/Scrum delivery models. Preferred Qualifications Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or related field. Microsoft Certified: Azure Data Engineer Associate (DP-203). Microsoft Fabric Certification. Databricks Certified Data Engineer. AWS or GCP Data Engineering Certifications.
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Listed on oraclehcm · posted 2026-09-08. ApplySarthi collects openings and links to application pages; the role is advertised by fa-etvl-saasfaprod1, not by us.