Build and optimize batch and real-time ETL/ELT pipelines using Python, PySpark, SQL, Snowflake, Databricks, and cloud platforms. Develop transformation and orchestration layers, implement data quality monitoring and alerting, optimize performance and cloud costs, and collaborate with architects, analysts, and data scientists. The role also requires data warehousing, dimensional modeling, CI/CD, version control, and documentation practices.
About Techdome
Techdome Solutions Pvt. Ltd. is a technology consultancy and product engineering company founded in 2020 and headquartered in Indore. We design, build and run AI-powered, cloud-native platforms across data engineering, machine learning, cloud, automation, CRM and enterprise platforms. Our own products include JustInterview.ai and Catalyst ERP, and we serve clients from startups to large enterprises worldwide.
Why join us: work on global client programs and our own products, a fast-growing team, ownership from day one, and recognition as Madhya Pradesh Best Employer Brand 2026.
Job Details
Experience: 5–12 years
Notice Period: Immediate joiners only
Locations: Hyderabad, Indore, Noida, Delhi, Mumbai
Employment Type: Full-time, permanent
Work Mode: Work from office
Education: B.E./B.Tech/MCA or equivalent in Computer Science, IT or a related field
How to Apply: Share your updated CV with current CTC, expected CTC and notice period / last working day.
We are looking for an experienced Data Engineer to build and maintain reliable, scalable data pipelines and platforms that power analytics and AI for our clients.
Key Responsibilities:
- Design, build and optimise batch and real-time data pipelines (ETL/ELT) from multiple sources.
- Develop data solutions on Snowflake, Databricks and cloud platforms (Azure, AWS or GCP).
- Write efficient, production-grade code in Python, PySpark and SQL.
- Build transformation layers using dbt, ADF, Matillion, Glue or Airflow.
- Implement data quality checks, monitoring, alerting and pipeline orchestration.
- Tune query and pipeline performance and manage cloud compute costs.
- Work with architects, analysts and data scientists to deliver clean, well-modelled data.
- Follow CI/CD, version control and documentation best practices.
Required Skills:
- 5+ years of hands-on data engineering experience.
- Strong SQL and Python; hands-on Spark/PySpark.
- Production experience with Snowflake and/or Databricks.
- Experience with at least one cloud platform: Azure (ADF, ADLS, Synapse), AWS (S3, Glue, Redshift, EMR) or GCP (BigQuery, Dataflow).
- Orchestration with Airflow, ADF or similar.
- Good understanding of data warehousing and dimensional modelling.
Good to Have:
- Streaming with Kafka, Spark Structured Streaming or Kinesis.
- dbt, Delta Lake / Iceberg, CDC tools.
- Docker, Terraform, Git-based CI/CD.
- Cloud or Snowflake/Databricks certifications.
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