Urgent Opening For Data Engineer

Talent21 Management and Shared Services Pvt Ltd; Bengaluru; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

Talent21 Management and Shared Services Pvt Ltd in Bengaluru is seeking a Data Engineer to design, build, and scale data pipelines supporting enterprise reporting and analytics. The role emphasizes modern data warehouses, best practices, and collaboration with product, analytics, and engineering teams.

The ideal candidate has 5-8 years of data engineering experience, strong SQL and Python/Scala skills, and hands-on cloud/AWS experience with data modeling and distributed systems.

Qualifications

• 5-8 years of experience in data engineering.
• Strong expertise with big data ecosystems and modern data warehouses.
• Proficient in SQL and Python/Scala for data processing.
• Hands-on cloud experience (AWS) and data modeling skills.

Responsibilities

• Design, build, and scale data pipelines for enterprise reporting and analytics.
• Develop modern data warehouse platforms for reliable BI use cases.
• Adopt best practices in data engineering, coding standards, and cloud infra.
• Collaborate with product, analytics, and engineering teams to deliver data solutions.

Skills

Data engineering

Big data

SQL

Python/Scala

System design

Tools

Apache Spark

Hadoop

Delta Lake

Kafka

Redshift

Snowflake

Databricks

BigQuery

Kubernetes

Docker

Terraform

AWS

EMR

Glue

S3

Lambda

Greenplum

Job description

Dear Candidate,

Greetings from Talent21!

We are hiring for an exciting opportunity with one of our esteemed clients for the role of Data Engineer, based in Bangalore. If you're passionate about Technology and cloud technologies, this could be the perfect next step in your career.

Responsibilities

• Design, build, and scale data pipelines to support enterprise reporting and analytics across large, complex datasets.
• Build of modern data warehouse platforms to enable reliable, scalable reporting and BI use cases.
• Adoption of best practices in data engineering, coding standards, and cloud infrastructure.
• Partner with product, analytics, and engineering teams to deliver reliable data solutions.

Qualifications

• 5-8 years of experience
• Experience in Data engineering with proven track record of impact.
• Strong expertise in Big Data ecosystems (Apache Spark, Hadoop, Delta Lake, Hudi, Kafka, Qlik ).
• Strong in database technologies such as PostgresSQL, MySQL, MSSQLServer
• Proficiency in SQL, Python/Scala for data processing.
• Hands-on experience with cloud platforms (AWS preferred) EMR, Glue, S3, Lambda, etc.
• Experience with data modeling, warehousing, and distributed systems.
• Strong knowledge of enterprise DWH systems for reporting and analytics (e.g., schema design, query optimization, BI integration).
• Strong problem-solving, debugging, and system design skills.
• Experience with Redshift or other modern data warehouse platforms (e.g., Snowflake, Databricks, BigQuery).
• Exposure to Greenplum or other MPP (Massively Parallel Processing) databases.
• Exposure to AI/ML data pipelines or advanced analytics platforms.
• Experience with CI/CD, Terraform, Kubernetes, Docker in data environments.

Knowledge of data governance, security, and compliance practices