Data Engineer

Techdome · IT Services & Consulting

Hyderabad, India; Indore, India; Mumbai, India; ., India
On-site
Posted today
Data & AI

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About the job

Experience: 5+

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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