Data Engineer

0 years

0 Lacs

Posted:10 hours ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Data Engineer (All Levels) — Across India

About the role

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

    (batch + streaming)
  • Work with

    SQL + Python

    ,

    Spark

    ,

    Airflow

    /

    dbt

  • Model data (star/snowflake), manage

    lake/warehouse

    (S3/ADLS/GCS + BigQuery/Redshift/Snowflake/Databricks)
  • Ensure quality, lineage, and governance (tests, catalog, access controls)
  • Tune performance, watch costs, add monitoring & alerts
  • Partner with BI/DS/engineering; document and automate

What you’ll need (by level)

  • Fresher / Junior (0–2 yrs):

    Strong SQL, Python basics, RDBMS fundamentals, Git/Linux, cloud basics, a project or two (even self-built)
  • Mid (3–6 yrs):

    Built prod pipelines, Spark optimization, orchestration (Airflow), warehouses, streaming (Kafka/Kinesis), testing, IaC (Terraform), security (IAM, encryption)
  • Senior / Lead (7–12+ yrs):

    Platform architecture, lakehouse strategy, SLOs & data contracts, FinOps for data, compliance/PII, stakeholder management, mentoring

Nice to have

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

Location

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

Why join

High impact, modern stack, smart team, real ownership.

How to apply

  • Share your resume + GitHub/notebooks and a short note on a pipeline you built or would design (tools, schema, tests).

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