Tech Lead / Lead Data Engineer

The Ksquare Group; Hyderabad; Sur place; INR 2 000 000 - 4 000 000; Plein temps

Résumé du poste

The Ksquare Group – Hyderabad, India invites a Tech Lead – Lead Data Engineer to own the technical delivery of data platforms. You will work with data architects, Salesforce, frontend teams, and business stakeholders to build scalable, secure data models and robust ETL/ELT pipelines.

You should have 7+ years in data engineering with 3+ years leading technical teams on data modelling, cleansing, migration, and data quality. Strong SQL, PostgreSQL, Python, and PySpark skills are essential.

Qualifications

• 7+ years in data engineering with 3+ years leading technical teams on large-scale data modelling, cleansing, migration, data reconciliation, and data quality.
• Hands-on data engineering experience building production ETL/ELT pipelines and deep understanding of data warehousing, data modelling, data normalization.
• Experience with data modelling projects.
• Proficient in SQL, PostgreSQL, Python, PySpark.
• Knowledge of MDM concepts and Golden-Record design using Postgres.
• Ability to analyze source systems and plan data migration strategies.
• Experience with GCP Cloud BigQuery and related tools (Cloud Storage, Dataflow, Cloud Run, Dataform).

Responsabilités

• Own the technical delivery of data platforms.
• Collaborate with data architects, Salesforce, frontend teams, and business stakeholders to build scalable, secure data models.
• Lead data modelling, cleansing, migration, and data quality initiatives.
• Define and govern data migration strategies and planning.
• Implement production ETL/ELT pipelines and ensure robust data warehousing practices.
• Promote data governance and security best practices across projects.

Connaissances

Data engineering leadership

SQL

PostgreSQL

Python

PySpark

MDM concepts

Data Modeling

Data Migration

GCP (BigQuery)

ETL/ELT pipelines

Data quality

Outils

Airflow

Dataform

Hadoop

Spark

Hive

Cloud Storage

Description du poste

The Ksquare Group is a global technology consulting company headquartered in Dallas, Texas, with over 14 years of experience delivering technology solutions across Salesforce, cloud, data, AI, and network engineering for clients in Banking & Financial Services, Public Sector, Telecommunications, Manufacturing, Logistics, Healthcare, and Enterprise Services. With a team of 350+ professionals across the US, Mexico, the Dominican Republic and India, we help organizations solve complex business challenges and achieve measurable outcomes through our collaborative POD-based delivery model. At The Ksquare Group, we foster a culture of integrity, collaboration, continuous learning, and professional growth, empowering our teams to make a meaningful impact for clients worldwide.

About the Role

We are seeking a **Tech Lead – Lead Data Engineer** to own the technical delivery of Data platforms.The resource will work closely with data architects, salesforce, front end application teams, and business stakeholders to build scalable, secure, and high performing on premise data models. This role requires someone proficient in Data Modelling/Profiling/Cleansing/de-duplication/ and Data Migration and Reconciliation as per the business rules.

Mandatory Skills

• 7+ years in data engineering, with 3+ years of experience leading technical teams on large-scale Data modelling/cleansing/migration, Data reconciliation and Data quality.
• Hands-on data engineering experience building production ETL/ELT pipelines and deep understanding of Data warehousing, Data Modelling, Data Normalization.
• Should have hands on experience and have worked on data modeling projects.
• Proficient in SQL, PostgreSQL, Python,,Pyspark.
• Must have knowledge of MDM (Master Data Management) concepts and Golden-Record design using open source databases like Postgres.
• Ability to analyze different source systems and come up with Data Migration Strategy and planning.
• Experience with GCP Cloud(BigQuery and related tech like Cloud Storage, Cloudrun, Dataflow and dataform)

Nice to Have Skills

• Other Cloud technologies like AWS, Azure.
• Data governance and Data Lineage
• Good Understanding of API's design(RESTful/secure API layers over a system of record, versioning, documentation) suitable for multiple consumer channels (web portal, offline/mobile, future integrations).
• Understanding of PII/data protection,data masking
• Excellent stakeholder communication skills - ability to present progress, risk, and data quality metrics to leadership and program governance.
• Experience with other clouds like AWS,Azure and modern datawarehouses like Databricks/Snowflake.
• CI/CD, github
• Big Data technologies Hadoop, HDFS, Hive, Apache Spark
• Orchestration tools like Airflow/Dataflow