Data Engineer
@ Tallento.ai

Hybrid
$120,000
Hybrid
Full Time
Posted 1 day ago

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Job Details

About the Role

As a Data Engineer at Tallento.ai, you will build reliable data pipelines and platforms that power analytics and AI. You care about clean SQL, scalable design, and trustworthy data.

What You’ll Do

  • Design and run ETL/ELT processes (batch and streaming).
  • Work with SQL, Python, Spark, Airflow, and dbt.
  • Model data (star/snowflake) and manage data lakes/warehouses (S3/ADLS/GCS with BigQuery/Redshift/Snowflake/Databricks).
  • Ensure data quality, lineage, and governance with tests, catalogs, and access controls.
  • Tune performance, manage costs, and implement monitoring and alerts.
  • Partner with BI, DS, and Engineering teams while documenting and automating processes.

What You’ll Need (by Level)

  • Fresher / Junior (0–2 yrs): Strong SQL, Python basics, RDBMS fundamentals, Git/Linux, cloud basics, and project experience.
  • Mid (3–6 yrs): Proven experience with production pipelines, Spark optimization, orchestration (Airflow), warehouses, streaming (Kafka/Kinesis), testing, IaC (Terraform), and security fundamentals.
  • Senior / Lead (7–12+ yrs): Expertise in platform architecture, lakehouse strategy, maintaining SLOs & data contracts, FinOps for data, data compliance, stakeholder management, and mentoring.

Nice to Have

  • Experience with dbt, Delta/Iceberg/Hudi, Databricks, CDC (Debezium/Fivetran), Kubernetes, Great Expectations/Monte Carlo, and Kafka Streams.

Location

Remote, Hybrid, or On-site across India (including BLR, HYD, Pune, NCR, Mumbai, Chennai, Jaipur, etc.).

Why Join

High impact role with a modern tech stack, a smart team, and real ownership.

How to Apply

Share your resume along with GitHub/notebooks and a short note on a pipeline you built or would design including tools, schema, and tests.

Key skills/competency

  • SQL
  • Python
  • Spark
  • ETL
  • Airflow
  • dbt
  • Data Modeling
  • Cloud
  • Data Governance
  • Pipeline Architecture
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How to Get Hired at Tallento.ai

🎯 Tips for Getting Hired

  • Customize your resume: Highlight SQL, Python, and ETL skills.
  • Showcase projects: Include examples of data pipeline work.
  • Prepare for technical interviews: Review Spark, Airflow, and cloud concepts.
  • Research Tallento.ai: Understand their tech stack and team culture.

📝 Interview Preparation Advice

Technical Preparation

Review SQL and Python programming basics.
Practice building ETL pipelines using Airflow.
Study Spark optimization and orchestration techniques.
Familiarize with cloud data warehouses and lakes.

Behavioral Questions

Describe a past challenging data project.
Explain teamwork in pipeline development.
Discuss managing deadlines under pressure.
Detail conflict resolution in a project.

Frequently Asked Questions