Data Engineering Sr. Associate

Synechron Technologies Pvt. Ltd._INDIA Company; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Synechron is seeking a Data Engineering professional to design, develop, and maintain scalable data pipelines and ETL/ELT processes across cloud platforms. You will build data models, data marts, and data warehouses while ensuring data quality, security, and governance.

Collaborate with Data Architects, Analysts, Data Scientists, and BI teams to deliver robust data solutions and optimize storage and compute resources for performance and cost efficiency.

Qualifications

• Strong proficiency in Python, SQL, and Spark.
• Hands-on experience with Azure Data Factory, Azure Databricks, Synapse Analytics, or equivalent cloud technologies.
• Experience with ETL/ELT frameworks and data integration tools.
• Knowledge of Data Warehousing concepts and dimensional modeling.
• Experience with Snowflake, Azure Synapse, Redshift, BigQuery, or similar platforms.
• Strong understanding of Data Lake and Lakehouse architectures.
• Experience with version control tools such as Git and CI/CD pipelines.
• Familiarity with workflow orchestration tools such as Airflow or Azure Data Factory.
• Strong problem-solving and analytical skills.

Responsibilities

• Design and maintain scalable data pipelines and ETL/ELT processes.
• Build and optimize data integration workflows from multiple source systems.
• Develop data models, data marts, and data warehouse solutions.
• Ensure data quality, integrity, security, and governance across platforms.
• Design solutions for structured and unstructured data processing.
• Develop cloud data solutions on Azure, AWS, or GCP.
• Work with Spark, Databricks, Hadoop, and Kafka.
• Implement scalable data processing frameworks and optimize resources.
• Collaborate with architects, analysts, and BI teams.

Skills

Python

SQL

Spark

Azure Data Factory

Azure Databricks

Synapse Analytics

ETL/ELT frameworks

Data Warehousing concepts

Snowflake/BigQuery/Redshift

Data Lake / Lakehouse

Git / CI/CD

Airflow / orchestration

Problem solving

Job description

Key Responsibilities

Data Engineering & Development Design, develop, and maintain scalable data pipelines and ETL/ELT processes. Build and optimize data integration workflows from multiple source systems. Develop data models, data marts, and data warehouse solutions. Ensure data quality, integrity, security, and governance across platforms. Design solutions for structured and unstructured data processing.

Cloud & Big Data Technologies Develop and manage data solutions on cloud platforms such as Azure, AWS, or GCP. Work with big data technologies including Spark, Databricks, Hadoop, and Kafka. Implement scalable and high-performance data processing frameworks. Optimize cloud data storage and compute resources for cost and performance.

Database & Data Warehousing Design and maintain SQL and NoSQL databases. Develop complex SQL queries, stored procedures, and performance tuning solutions. Work with enterprise data warehouses such as Snowflake, Redshift, Synapse, or BigQuery. Implement data partitioning, indexing, and optimization techniques.

Data Governance & Quality Establish and enforce data quality standards and validation processes. Implement monitoring, logging, and alert mechanisms for data pipelines. Ensure compliance with data security and governance policies.

Collaboration & Stakeholder Management Collaborate with Data Architects, Business Analysts, Data Scientists, and BI teams. Gather requirements and translate business needs into technical solutions. Support production deployments, incident management, and root cause analysis. Provide technical guidance and mentoring to junior team members.

Required Skills

• Strong proficiency in Python, SQL, and Spark.
• Hands-on experience with Azure Data Factory, Azure Databricks, Synapse Analytics, or equivalent cloud technologies.
• Experience with ETL/ELT frameworks and data integration tools.
• Knowledge of Data Warehousing concepts and dimensional modeling.
• Experience with Snowflake, Azure Synapse, Redshift, BigQuery, or similar platforms.
• Strong understanding of Data Lake and Lakehouse architectures.
• Experience with version control tools such as Git and CI/CD pipelines.
• Familiarity with workflow orchestration tools such as Airflow or Azure Data Factory.
• Strong problem-solving and analytical skills.

SYNECHRON’S DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Candidate Application Notice

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets. For more information on the company, please visit our website or LinkedIn community. At Synechron, we are committed to integrating sustainability into our business strategy, ensuring responsible growth while minimizing environmental impact. Employees play a key role in driving our sustainability initiatives, from reducing our carbon footprint to fostering ethical and sustainable business practices across global operations. All positions are required to adhere to our Sustainability and Health Safety standards, demonstrating a commitment to environmental stewardship, workplace safety, and sustainable practices.