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We are looking for a Data Engineer with 6 to 10 years of experience using Matillion and Snowflake to join our team. The successful candidate will be responsible for designing, developing, and managing a large data…
Senior Specialist - Data Engineering Job Summary: We are seeking a highly skilled Senior Specialist - Data Engineering with strong Spark Scala knowledge, mandatory for a significant and complex engagement. An AWS…
Position: Senior Data Engineer Experience : 7+ Years Location : Bangalore CTC Offered : Up to ₹24 LPA Notice Period : Immediate Joiners Only Role Type : Full-Time, Permanent Primary Skills to Focus: Azure Data Services…
Remote PAN-India Data Governance Administrator (5–12 yrs experience) administering data catalog tools such as Collibra or Informatica EDC: configuring catalogs and workflows, ingesting metadata and enabling lineage, job monitoring, upgrades, and help desk ticket resolution, using SQL, Unix, and ticketing tools; works a US shift (1 PM–10 PM).
Senior Data Engineer on a 6-month fixed-term contract (payroll via Talpro) in Bangalore, hybrid with 3 days in office. Builds and optimizes finance data pipelines and platforms using Snowflake, Azure Data Factory, Databricks, and Kafka. INR 190K/month; immediate joiners only.
6-month contract-to-hire via Talpro, deployed at a Bengaluru client site: design and build metadata-driven batch and streaming data pipelines on Azure Databricks and Spark, tune performance, ensure data quality, and implement CI/CD. Hybrid (3 days/week in office), UK hours (~2-7 PM IST), up to ₹1.5L/month, immediate joiners only.
Senior Data Engineer on a 12-month hybrid contract (17 LPA) in Bengaluru, designing and optimizing scalable ETL pipelines and analytics on AWS and Databricks using Apache Spark, Unity Catalog, SQL, and Python/Scala, with a focus on data governance, streaming, and mentoring.
Remote (PAN India) Graph Data Engineer with 3–5 years' experience for a supplier chain project: building and optimizing graph data solutions using Neo4j (incl. Aura) and Cypher on GCP (BigQuery, GCS, Dataproc), and exposing graph data to BI tools like Tableau and Power BI.
Senior/Lead Data Engineer to design, build, and operate a Quote-to-Cash (QTC) Service Layer integration platform in Bengaluru (hybrid): building event-driven microservices in Go and Python on AWS (Lambda, Kafka/MSK), ETL/migration/reconciliation pipelines with Snowflake, PostgreSQL, and ClickHouse, plus mentoring a team. 12-month contract at ~27 LPA.
Leader for a cloud data practice built on Snowflake and/or Databricks: architecting cloud data warehouses/lakes, doing client-facing solutioning and pre-sales, and building reusable accelerators. Full-time permanent role (FTE with client), hybrid 3 days/week office in India, ~45 LPA, immediate joiners only.
Data warehouse / ETL developer (or senior) role in Hyderabad focused on building and maintaining data warehouse and ETL solutions. The posting is largely boilerplate: collaborating with stakeholders and engineering teams to turn product specs into solutions.
Senior BI developer in Mumbai designing OAC/OBIEE RPDs, data warehouse models (star/snowflake) and Informatica ETL, plus building complex reports/dashboards with SQL and PL/SQL. Works with global cross-functional teams to support and enhance business systems.
12-month contract data engineering role (Bengaluru, hybrid) on a billing transformation programme: building ETL/ELT pipelines that turn raw telemetry usage data into rated, validated, invoice-ready outputs for SAP invoicing. Core stack: AWS Glue, Snowflake, Python, PySpark, SQL and CI/CD.
Product Lead for Arcesium's data platform in Bangalore: owns the product vision for foundational data components (transformation, lineage, governance, quality, privacy), aligns stakeholder needs, runs competitor analysis, and partners with engineers/architects to deliver. Requires 5+ years in product management or development with data platform or financial data expertise.
Remote Azure Data Engineer role converting Informatica PWC and Oracle PL/SQL code into Azure Data Factory and Azure SQL. Day-to-day work covers building ADF pipelines, Databricks Lakehouse data curation with SQL/PySpark, ADLS/ADX, data modeling, and CI/CD automation; requires 5-7 years of Azure/Databricks experience.
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