Data Engineer (Databricks Specialist)

Tekskills Inc.; Hyderabad; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Tekskills Inc. in Hyderabad is seeking a Data Engineer (Databricks Specialist) with 7+ years of experience for immediate joining.

You will develop and optimize big data pipelines using Databricks and Spark, build scalable data solutions in cloud environments and implement dimensional models with optimized schemas. Strong SQL and cloud platform experience (Azure preferred; AWS/GCP acceptable) in an agile team are essential.

Qualifications

• 7+ years of data engineering experience.
• Must-have Databricks, Spark, and PySpark.
• Azure preferred; AWS or GCP acceptable.
• Strong SQL and dimensional data modeling.
• Experience with ETL/ELT tools (ADF, Informatica, Talend).
• Experience with data warehousing in Azure Synapse, Snowflake or BigQuery.

Responsibilities

• Develop and optimize big data pipelines using Databricks and Spark.
• Build scalable data solutions in cloud environments.
• Implement dimensional models and optimized schemas.
• Collaborate with cross-functional teams in agile setups.
• Troubleshoot and resolve complex data engineering challenges.

Skills

Databricks

Apache Spark

PySpark

Azure

AWS

GCP

SQL

Dimensional Modeling

ETL Tools

Azure Synapse

Snowflake

BigQuery

Tools

Event Hub

IoT Hub

Streaming Analytics

Power BI

Azure DevOps

CI/CD

MLlib

Predictive Analytics

Job description

Experienced professionals are invited to apply!

Job Summary

Data Engineer (Databricks Specialist)

Experience: 7+ Years

(Immediate Joiners Preferred)

Must-Have Skills

• Databricks, Apache Spark, PySpark
• Azure (Preferred) / AWS / GCP
• Strong SQL & Dimensional Data Modeling
• ETL/ELT Tools (ADF, Informatica, Talend)
• Data Warehousing (Azure Synapse / Snowflake / BigQuery)

Good-to-Have

• Event Hub / IoT Hub / Streaming Analytics
• Power BI, Azure DevOps, CI/CD
• MLlib & Predictive Analytics

Key Responsibilities

• Develop and optimize big data pipelines using Databricks & Spark.
• Build scalable data solutions in cloud environments.
• Implement dimensional models and optimized schemas.
• Collaborate with cross-functional teams in agile setups.
• Troubleshoot and resolve complex data engineering challenges.

Important Note: This role is strictly for immediate joiners only. Candidates with 30 / 60 / 90 days notice period will not be considered.

Candidate without relevant experience will not be considered.